Merger Integration
description
Transcript of Merger Integration
Merger Integration
2
TEAM MEMBERS
Nalin Singla
Engagement Manager
Consultants
Aaron ByrneSenior Consultant
Erin EngelsSenior Consultant
Eriko ItoSenior Consultant
Andy SchultzConsultant
Carissa Holler Library Information Services
Dr. Anju Seth
Faculty Advisor
3
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
4
PROJECT BACKGROUND & APPROACH
• BearingPoint had created a whitepaper entitled “Unleashing your company’s unrealized value: Transformation through business integration”.
• The whitepaper was validated by the OSBI team as a part of the previous project to create a tool which measured the unrealized values of companies during M&A activities
• Two industries were analyzed•Banking•Electronics
Project Background
• Update & analyze the value tool for additional industries
•Telecommunications•Software
• Perform analysis related to unrealized value of proposed merger synergies
• Define and estimate market size for pre-merger and post-merger services
• Provide a competitive analysis of the pre-merger, transaction support & post-merger integration services
• Identify significant trends in U.S. and global M&A
OSBI Project Goals
5
Conduct competitive analysis of merger services market
Analyze unrealized value of proposed mergers
PROJECT BACKGROUND & APPROACH
This diagram represents the process flows for the project. The remainder of this report will expound upon the arrows highlighted on this slide.
Identified 3rd & 4th industry
Updated tool for 3rd & 4th industry
Identified value drivers
from S-4 reports
Identified reasons for proposed mergers
Identified reasons for
failed mergers
Identified areas of synergy
Conducted competitive analysis
of key consulting firms providing M&A
services
Analyzed pre/post merger market
Analyzed merger
services market
Analyzed M&A
market trends
Data Gathering
Analysis & Evaluation
Consistent client interaction & input
6
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
7
UPDATED TOOL OVERVIEW
1. BearingPoint created a whitepaper entitled “Unleashing Your Company’s Unrealized Value: Transformation Through Business Integration”
2. Electronics and Banking industries were selected as analysis targets based upon an industry evaluation and selection model: 22 industries were ranked on the basis of M&A activity, industry beta, market cap. & availability of company’s financial data
3. Companies were evaluated with respect to generic and company-specific value drivers for two industries (Banking & Electronics). Each of the industry specific driers are mapped to accounting ratios.
4. The tool analyzes changes in the financial performance of a company for a period of eight (8) years with the changes in financial performance of the overall industry for the same period
5. The tool identifies companies who lost value due to M&A activity and provides a positive/negative score for each company which tells how a company compared to the industry average
Value DriversIndustry Selection Tool Architecture Companies who lost
value due to M&A Activity
Whitepaper on
Unrealized value1
The structure of the “Value Predictability Tool” developed by the OSBI team
M&A activity
Industry Beta
Financial Data avail
Market Cap.
Weighted Average
Generic Drivers
Industry Drivers
Ranked
80%
20%
1 2 3 4 5
Company specific data
Industry average
co
mp
are
Note: “Industry selection”, “Value drivers” & “Tool architecture” slides are attached in the appendix
8
UPDATED TOOL OVERVIEW – Industry Selection
Industries for further analysis were identified based on their ranking across three different scenarios. The four industries selected ranked highest in at least two of the three scenarios
Scenario 2
1. Electronics2. Banking3. Software4. Telecommunications
Top 4 IndustriesIndustries not considered
Scenario 3Scenario 1Industry Name
NOTE: Retail/Wholesale was number one in ranking, but was not used because of the diversity of the industry and value drivers
9
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
10
REASONS FOR PROPOSED MERGERS - Electronics
Driver ListTimes Cited
Complementary Products (Consolidate Product Offering) 29
Expertise in Area (Technical Know-How) 24
Capture Market Segment 20
Distribution Channels (Network) 18
Tax Benefits (Taxation) 17
Product List (Breadth of Service Offerings & Solutions) 15
R&D Capabilities (Complements Technical Spending) 9
Customer Relations (Combat Growing Competition) 8
Economies of Scale 7
Financial Resources 7
Resources (Threshold Size to Compete with Large Players) 6
Increased Size Increases Bargaining Power 6
Others 6
Sources: Value Predictability Tool and Mergant Online
29
24
20
18
17
15
9
8
7
7
6
6
6
“Complementary products” & “R&D capabilities” would be the major drivers for M&A activity in the electronics industry
Future Trend
“Consolidation of product offerings” & “Gaining technical expertise in a particular area” are the top reasons for mergers in the electronics industry
11
REASONS FOR PROPOSED MERGERS - Banking
Driver ListTimesCited
Financial Risk and Superior Performance to Shareholders
25
Financial Strength in Assets & Revenue 24
Broader Product Line 21
Bigger Management and Economies of Scale 20
Good Financial Performance 20
Opportunity to Expand into Domestic/International Market 19
Greater Competitive Position 18
Greater Distribution Network 17
Similar Vision and Customer Service/Marketing Approach 17
Specialized Service Expansion 16
Market Share 15
Marketing Advantages 13
Others 18
Sources: Value Predictability Tool and Mergent Online
25
24
21
20
20
19
18
17
17
16
15
13
18
“Financial risk and superior performance to shareholders” & “Financial strength in assets & revenues” are the top reasons for mergers in the banking industry
“Market reach”, “Greater distribution network” & “Gaining competitive position” would be the major drivers for M&A activity in the banking industry
Future Trend
12
REASONS FOR PROPOSED MERGERS – Software & Telecom
Driver ListTimescited
Alliances/Partnerships w/ Complementary Product Manufacturers
17
Growth Areas -- Financial Sector, Banking/Insurance; Wireless, BPO
9
Market Share 8
Others 8
Sources: Value Predictability Tool and Mergent Online
Software
Telecommunication
Driver ListTimes Cited
Geographic Reach -- Market Size, Customer Base
10
Services -- Wireless, Voice, Data 9
Bundled Technology 6
Others 15
Future Trend - Banking
Future Trend - Telecom
17
9
8
8
10
9
6
15
“Complement product range”, “Expansion into other industries” and “Market share” would be the major
drivers of M&A activity in the software industry
“Geographic Reach”, “Service range” & “Bundled technology” would be the major drivers of M&A activity in the telecommunications industry
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AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
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AVERAGE VALUE OF PROPOSED SYNERGIES
Source: Wealth destruction on a massive scale? By Moeller, Schlingemann, Stulz – August 2003
The losses of the bidders exceed the gains of targets from 1998 through 2001 by $134 billion
Note: The report analyzed data from 1980 – 2001 but results provided only for 1997-2001 to maintain consistency in overall analysis of the whole project
In 1998-2001 a small number of firms accounted for huge “aggregate dollar losses”, which means that without these announcements, the wealth of acquiring shareholders would have increased
-150
-130
-110
-90
-70
-50
-30
-10
10 -4 +24 -240
1980 1990 1998 2001
Aggregate dollar return to acquiring firm shareholdersAggregate difference between acquiring & target firm shareholder value
Billion $
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AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
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69%
31%
Realized Value
Underperforming
Underperforming Companies that Underwent M&A Activities
(# of M&A Activities, 1997-2000)
Cirrus Logic (1)
Gateway (1)
Maxtor (1)
Silicon Graphics (1)
Western Digital (1)
Andrew Corporation (2)
Imation (2)
Atmel Corporation (4)
Natl. Semiconductor (6)
NCR (8)
3COM (10)
Hewlett-Packard (10)
Motorola (12)
Lucent (35)
Thirty-one percent (31%) of electronics companies that underwent M&A activities
underperformed based on value predictability tool analysis.
COMPANIES WITH UNREALIZED VALUE - Electronics
80% of companies in electronics industry underwent M&A activities between 1997 and 2000.
Source: Value Predictability Tool
53%
24%
20%
4%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Electronics
No M&A Activities and UnderperformingNo M&A Activities and Realized ValueM&A Activities and UnderperformingM&A Activities and Realized Value
Companies that
underwent M & A
Activities
17
59%41%
Realized Value
Underperforming
COMPANIES WITH UNREALIZED VALUE - Banking
Underperforming Companies that Underwent M&A Activities
(# of M & A Activities, 1997-2000)
Bank of America (1) Bank One (4) (now J.P. Morgan Chase & Co. JPM)
Cendant (1)
Astoria (2) Morgan Stanley (4)
CIT Group (2) Assoc. Banc Corp (5)
KeyCorp (2) Compass Bancshares (12)
Peoples Bank (2) Zions Corporation (17)
PNC (2) Bank of New York (19)
Suntrust (2) Regions Financial (20)
Huntington (3) 1st Tennessee Natl. (3)(now First Horizon, FHN)
American Express (4)
Forty-one percent (41%) of capital markets and banking companies that underwent M&A activities underperformed
based on value predictability tool analysis.
80% of companies in
banking industry
underwent M&A activities between 1997
and 2000.
Source: Value Predictability Tool
47%
33%
7%
14%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Banking
No M&A Activities and UnderperformingNo M&A Activities and Realized ValueM&A Activities and UnderperformingM&A Activities and Realized Value
Companies that
underwent M & A
Activities
18
12(57%)
9(43%)
Realized Value
Underperforming
COMPANIES WITH UNREALIZED VALUE – Software & Telecom
Underperforming Companies that Underwent M&A Activities
(# of M & A Activities, 1997-2000)
National Instruments Corp. (1)
Reynolds & Reynolds Co.(1)
BMC Software Inc. (5)
Parametric Technology Corp. (7)
Novell Inc. (10)
BEA Systems Inc. (12)
Intuit Inc. (14)
Cadence Design Systems Inc. (20)
Computer Assoc Intl Inc. (29)
21 software companies underwent M&A activities between 1997 and 2000.
TelecommunicationUnderperforming Companies that
Underwent M&A Activities (# of M & A Activities, 1997-2000)
US Cellular Telephone Corp. (1)
Qwest Communications Intl Inc. (5)
Nextel Communications Inc. (16)
AT&T Corp. (34)
17 companies underwent M&A activities between 1997 and 2000
• 1 company performed lower than the industry avg.
• 3 companies did not realize significant value (almost same as the industry average)
100% of companies on value predictability tool analysis underwent M&A activity between 1997-2000
So
ftware
Software
Tele
com
Source: Value Predictability Tool
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AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
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AREAS OF SYNERGY – Reverse Engineering of the Tool
LOGIC USED
1. Match relevant companies to industry specific drivers.
2. Pick the Composite Score and the Industry Specific Drivers Score, and calculate the correlation. (“CORREL” excel function)
3. If there are less than five relevant companies cited in each driver, neglected the correlation
4. Sorted as “Strong Impact ” if the correlation is more than 0.5, “Weak Impact” if it is between -0.2 and 0,2, and “Adverse Impact” if it is less than -0.5
M&A ActivitiesReason
Cited
Industry Driver Scoring
Composite Scoring
Generic DriverScoring
M&A ActivitiesReason
Cited
Industry Driver Scoring
Current tool Reverse engineering
Strong negative
correlation
Weak correlation (indifferent)
Strong positive
correlation
-1 10.5-0.2 0.2-0.5
Measurement
Correlation
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strong negative correlation weak correlation strong positive correlation
-1 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Complementary products(Consolidate Product Offering)
Increased size Would helpincrease the bargaining power
Product list (Breadth of ServiceOfferings & solutions)
Correlation
Resources (Threshold Size tocompete with large players)
R&D capabilities (ComplementsTechnical Spending)
Expertise in area (TechnicalKnow How)
Capture Market Segment
Distribution Channels (Network)
Customer Relations (Combatgrowing competition)
Economies of scale
Tax Benefits (Taxation)
66
67
1624
1220
618
68
717
59
1729
66
1015
0.85
0.81
0.65
0.56
0.47
0.44
0.26
0.02
-0.01
-0.05
-0.08
AREAS OF SYNERGY – Electronics
*Financial Resources 0.75 (4 firms), Alternative Non-M&A activities that improve competitive position 0.93 (3 firms), To generate cash to pursue further acquisition strategy N/A (1 firm), Workforce N/A (1 firm), Brand Equity/Loyalty N/A (1 firm)
Number of companies stated
Number of times stated
Correlation
Though fewer firms stated, “Resources” and “Economies of Scale” have a large impact on the firm’s overall performance.
High number of firms stated, “Expertise in Area” and “Capture Market Segment,” has relatively high impact on the firms overall performance.
Most companies stated “Complementary products,” as a reason for merger but it actually doesn’t correlate with a firms overall performance.
“R&D capabilities,” “Big Size & Bargaining Power,” and “Product List” don’t impact the overall performance.
“Resources” and “Economies of Scale” are highly correlated with the firm’s overall performance
Ele
ctro
nic
s V
alu
e D
rive
rs
22
strong negative correlation weak correlation strong positive correlation
-1 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Correlation
Specialized Service Expansion
Similar Vision and customerservice/marketing approach
Opportunity to expand intodomestic/international market
Share Strength
Financial Risk and superiorperformance to shareholders
Marketing advantages
Market share
Greater distribution network
Broader product line
Financial Strength in Assets,Revenue
Good financial performances
Bigger Management and Goodeconomies of scale
Gaining Competitive Position
Attractiveness to its futureemployees
55
1313
1515
1717
2121
2425
1616
1717
1919
2020
2020
1818
55
2524
0.99
0.75
0.64
0.62
0.33
0.33
0.2
0.19
0.16
0.16
0.14
0.02
-0.15
-0.2
AREAS OF SYNERGY – Banking
“Share Strength,” “Marketing Advantages,” “Market Share,” and “Grater Distribution Network” are highly correlated to the firm’s overall performance. However, fewer firms stated “Share Strength” and “Marketing Advantages” as their reason for M&A.
Although more firms stated “Opportunity to Expand into Domestic/International Market,” “Good financial performances,” ”Bigger Management and Economies of Scale,” “Gaining Competitive Position,” and “”Financial Strength in Assets, Revenue” as their reason for M&A, these factors are not correlated to the firm’s overall performance.
Number of companies stated
Number of times stated
Correlation*Ownership rights (merger percentage) 0.91 (4 firms), Capital availability 0.53 (4 firms)
“Share Strength” and “Marketing Advantage” have the highest correlation
23
strong negative correlation weak correlation strong positive correlation
-1 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Growth areas: IT services tofinancial sector, banking and
insurance; Wireless, BPO
Correlation
Alliances/Partnerships w/complementary product mfgs.
Market share
79
78
1317
0.86
0.76
-0.36
strong negative correlation weak correlation strong positive correlation
-1 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Correlation
Bundled technology
Services--wireless, voice, data
Geographic Reach --market size,customer base
710
79
66
0.77
-0.01
-0.03
Telecommunication
*Wi-Fi Capabilities & Alliances -0.28 (3 firms), Customer service --call center operations N/A (2 firms), Equipment manufacturers' performance (ie Motorola) N/A (2 firms), R&D Spending for future network capabilities N/A (2 firms), Technology-based subsidiary performance (IP/R&D)--indicator of underlying value N/A (1 firms), Mobile Game sector value within phones N/A (1 firms), Multimedia messaging N/A (1 firms), Venture Backed startups N/A (0 firms)
Number of companies stated
Number of times stated
Correlation
AREAS OF SYNERGY – Software & Telecom
Software
*Operating costs - salaries are big costs (Solution: Open source alternatives, outsourcing, etc.) -0.37 (3 firms), R&D spending (for product based companies) -0.84 (3 firms), Penetration of Emerging/Expanding International Markets (particularly China) N/A (2 firms)
Though fewer firms stated, “Growth Areas” and “Market Share” have high correlation with the firms’ overall performance.
Even though stated by many firms, “Alliances/ Partner-ships with Complementary Product Mfgs” has a slightly negative effect.
“Geographic Reach” is highly correlated with the overall performance. “Services” and “Bundled Technology” are indifferent.
“Growth Areas (Software)” and “Geographic Reach (Telecom) ” have the significant impact on firms’ composite scores.
24
AREAS OF SYNERGY - Key Success Factors and Opportunities
Drivers with strong future trends and high correlations are key success factors for industries
Drivers
Com
plem
enta
ry p
rodu
cts
(Con
solid
ate
Pro
duct
Off
erin
g)
Exp
ertis
e in
are
a (T
echn
ical
Kno
w H
ow)
Cap
ture
Mar
ket
Seg
men
t
Dis
trib
utio
n C
hann
els
(Net
wor
k)
Tax
Ben
efits
(T
axat
ion)
Pro
duct
list
(B
read
th o
f S
ervi
ce O
ffer
ings
& s
olut
ions
)
R&
D c
apab
ilitie
s (C
ompl
emen
ts T
echn
ical
Spe
ndin
g)
Cus
tom
er R
elat
ions
(C
omba
t gr
owin
g co
mpe
titio
n)
Eco
nom
ies
of s
cale
Fin
anci
al R
esou
rces
Res
ourc
es (
Thr
esho
ld S
ize
to c
ompe
te w
ith la
rge
play
ers)
Incr
ease
d si
ze W
ould
hel
p in
crea
se t
he b
arga
inin
g po
wer
Oth
ers
Fin
anci
al R
isk
and
supe
rior
perf
orm
ance
to
shar
ehol
ders
Fin
anci
al S
tren
gth
in A
sset
s, R
even
ue
Bro
ader
pro
duct
line
Big
ger
Man
agem
ent
and
Goo
d ec
onom
ies
of s
cale
Goo
d fin
anci
al p
erfo
rman
ces
Opp
ortu
nity
to
expa
nd in
to d
omes
tic/in
tern
atio
nal m
arke
t
Gai
ning
Com
petit
ive
Pos
ition
Gre
ater
dis
trib
utio
n ne
twor
k
Sim
ilar
Vis
ion
and
cust
omer
ser
vice
/mar
ketin
g ap
proa
ch
Spe
cial
ized
Ser
vice
Exp
ansi
on
Mar
ket
shar
e
Mar
ketin
g ad
vant
ages
Sha
re S
tren
gth
Att
ract
iven
ess
to it
s fu
ture
em
ploy
ees
Oth
ers
Alli
ance
s/P
artn
ersh
ips
w/
com
plem
enta
ry p
rodu
ct m
fgs.
Gro
wth
are
as
Mar
ket
shar
e
Oth
ers
Geo
grap
hic
Rea
ch -
-mar
ket
size
, cu
stom
er b
ase
Ser
vice
s--w
irele
ss,
voic
e, d
ata
Bun
dled
tec
hnol
ogy
Oth
ers
# of times cited 29 24 20 18 17 15 9 8 7 7 6 6 9 25 24 21 20 20 19 18 17 17 16 15 13 5 5 8 17 9 8 8 10 9 6 15
future trend
correlation
Banking Software TelecomElectronics
25
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
26
REASONS FOR FAILED MERGERS – Numerical data
Deal Characteristics 1998-2001
Large loss Other
Loss/Gain (billion) -397 157
Transaction value (TV, million) 9,586 268
TV/ Assets (market) 0.198 0.157
TV/ Equity (market) 0.267 0.296
Days to completion 125.8 67.0
Cash in payment (%) 22.6 56.9
Equity in payment (%) 71.6 35.2
Pure cash deal (%) 10.3 41.1
Pure equity deal (%) 51.7 25.8
Tender-offer (%) 12.6 3.0
Hostile deal (%) 1.1 0.1
Same industry (%) 41.4 31.6
Private target (%) 14.9 51.7
Public target (%) 75.9 20.9
Subsidiary target (%) 9.2 27.4
Competed deal (%) 8.0 0.7
Liquidity index 0.117 0.151
Large loss deals have a large transaction value, but there is nothing noticeable when
it is normalized by firm market value.
Days to completion is longer in large loss deals
Equity payment is used more often with large loss deals
Acquisitions of public firms are more likely to be large loss
More competition could explain the large loss deals
Out of 4,136 acquisition announcements, 87 are responsible for 43.4% of the loss. (comparison between +1day and -2day of announcement)
Source: Sara B. Moeller, "Wealth destruction on a massive scale? “
Longer days to complete, large transaction value, and more competition are major reasons for M&A losses.
27
REASONS FOR FAILED MERGERS – Conceptual Data
Types of Failed Mergers
Serial acquirers, high valuation firms Firms with large capitalization, low managerial share
ownership, or large holdings of cash Equity is used for payment Conglomerate acquisitions Acquisitions opposed by target management Acquisitions of public firms Acquisitions by firms with low leverage
Management
Decreased profitability Changes in productivity Loss of market share Management's strategy is not sustainable Differential levels of managerial skills and
compensation differentials A lack of internal growth opportunities Management’s discretion caused from the high
valuations of the firms was used for destroying shareholder wealth.
Cost and Environment
Overpays for the target firm Transaction costs (e.g. finding target, negotiating
terms, writing contracts, swapping goods) overwhelm the gains from a deal
Run out of profitable acquisition opportunities
Management - Indirect “Soft” Costs
Lack of external focus on the customer, competition, and the marketplace
Low staff motivation and morale Loss of key executives-nearly half within three years Loss of key staff-many long-serving high performers
and informal leaders Brand confusion-loss of brand focus Decreased customer service levels and satisfaction Impediments to information transfer
Sources: Sara B. Moeller, "Wealth destruction on a massive scale?”/ “Mergers, Acquisitions, and Organizational Effectiveness” iPlanet/ “Market Failures” HBS 700127 - 2004
28
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
29
MARKET OVERVIEW - Market Definition
Total market size is equal in the pre and post-merger markets, assuming unsuccessful mergers are discounted. The current market size for consulting firms is further refined by the number of merging and merged entities that use consulting services in the pre and post-merger market
respectively. However, the current market size does not reflect future market size. Demand for services can, and should, be stimulated by consultants who educate their clients about the tangible benefits of consulting involvement
• Supply can be estimated, but remains unpredictable in the M&A market.
• Supply is driven by the need for growth through acquisition, and/or consolidation within an industry
• Within a given M&A transaction supply is defined by two phases
ACQUIRER
TARGET
NEW ENTITY
Pre-merger Market Post-merger Market
SUPPLY
SUPPLY
SUPPLY
SUPPLY
Demand for Services
Demand for Services
Demand for Services
INVESTMENT BANKSFULLFILL PRE-MERGER SERVICE DEMAND
ITJOINT VENTURE / PRE-MERGER
OPPORTUNITIES
SUSTAINED RELATIONSHIPSOPPORTUNITIES FOR FUTURE SERVICES
MARKET DEMAND = NEED FOR SERVICES
MARKET SUPPLY = M&A TRANSACTIONS
• Demand for services is plentiful, but within a highly competitive environment
MANAGEMENT CONSULTING FIRMS FILL POST-MERGER SERVICE DEMAND
30
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
31
PRE-MERGER MARKET
$0.00
$500.00
$1,000.00
$1,500.00
$2,000.00
$2,500.00
$3,000.00
$3,500.00
$4,000.00
1994 1995 1996 1997 1998 1999 2000 2001 2002 2003($
in m
illion
s)
0
2,000
4,000
6,000
8,000
10,000
12,000
Dea
ls
Total Fees Deals
Source: M&A Almanac, Feb 2004 Vol. 39 No. 2
Source: M&A: The Dealmaker’s Journal, March 2004 Vol. 39 No.3
Top M&A Investment Banks – 2003 Disclosed Values
Advisor Fees ($mil) # of Deals
Morgan Stanley
Credit Suisse First Boston
Citigroup
UBS
Merrill Lynch
Goldman, Sachs
$117.5
84.9
74.5
49.0
49.8
36
11
10
8
3
8
5
Advisor Fees ($mil)
Deutsche Bank
Rohatyn Associates
Lehman Brothers
HSBC Holdings
Allen & Co.
J.P. Morgan
34.7
31.5
30.6
28.0
28.0
27.9
5
6
6
1
Bear, Stearns
Keefe Bruyette & Woods
Sandler O’Neil
Banc of America
17.6
16.2
16.7
16.1
Stephens
Brown, Gibbons, Lang
Rothschild
Dresdner Leinwort Wasserstein
9.4
7.4
6.6
5.4
1
2
8
7
9
5
1
1
1
1
# of Deals
Total market = 5,212 * 100% * 1M = $5,212M
(Market Size = Total Transactions * % Used * Fee)
Total market = 3,935 * 100% * 1M = $3,935M
2003 M&A Transactions Data
30 yr. mean M&A Transactions Data
Market for Pre-M&A Consulting Services: Revenue
Strategy Consulting firms are becoming increasingly more involved in pre-merger activities. There are two options for BearingPoint; become more strategy focused, or form alliance with Investment Bank.
Fees for investment banks in the pre-merger market have
trended downward in the recent past as a result of
increased competition. Deal activity began to pick up in 2003 and momentum has
carried into 2004.
Target firms for alliances should be selected based on
deal activity
32
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
33
POST-MERGER MARKET
0
20
40
60
80
100%
Levels of Market - Demand Side
PopulationPercentage
Penetrated market ?
Specific Functional Integration
Potential market
Total market
Source: M&A Almanac, Feb 2004 Vol. 39 No. 2
Source: M&A: Post-merger integration: An Accenture survey conducted by the Economist Intelligence Unit, Jun 23, 2004
Accenture/EIU Survey: Did your company use a PMI consultant?
18%
37%
45%
Yes – Overall integration needs
Yes –Specific functional integration (IT)
No
Potential market
Available market
Penetrated market
-
Overall percentage of market utilizing PMI services
-
Specific functional integration marketOverall integration market
-
-Customers that rely on BearingPoint for M&A Services
Total market Total M&A Deals
Market for M&A Services Definitions
The potential market for overall M&A integration consulting ~$2,164M
Methodology: Market size was estimated using the number of transactions multiplied by the percentage of firms using specific and overall M&A integration services multiplied by an estimated transaction fee of $1M. Percentage used was determined by an Accenture EIU survey.
(Market Size = Total Transactions * % Used * Fee)
30 yr. mean M&A Transactions Data
Market for M&A Services: Revenue
Available market:Specific functional integration = 5,212 * 37% * 1M = $1,930MOverall integration needs= 5,212 * 18% * 1M = $938M
Potential market = 5,212 * 55% * 1M = $2,867M
2003 M&A Transactions Data Total market = 5,212 * 100% * 1M = $5,212M
Available market:Specific functional integration = 3,935* 37% * 1M = $1,456MOverall integration needs= 3,935 * 18% * 1M = $708M
Potential market = 3,935 * 55% * 1M = $2,164MTotal market = 3,935 * 100% * 1M = $3,935M
Overall Integration Needs
34
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
35
COMPETITIVE ANALYSIS - Competitive Market Positioning
Breadth ofService Offering
Narrow
Broad
OfferingTailored Solution
Standard Solution
IBM
Accenture
BearingPoint
Deloitte
Booz Allen
BCG
BAINMcKinsey
HPCSC AT Kearney
PRTM
Roland Berger
Quadrant 1
Quadrant 4
Quadrant 3
Quadrant 2Broad Service
Offering
Standard Solution
Broad Service Offering
Tailored Solution
Standard Solution
Narrow Service Offering
Tailored Solution
Narrow Service Offering
Quadrant 1Quadrant 2
Quadrant 3 Quadrant 4
Methodology: Researched overall number of services offered by firm, as well as number of consultants within each firm. Consultant number was normalized by overall firm size and used as a metric to measure a firms emphasis on tailored solutions
Competitors offering significant services within M&A
Per
cep
tual
Map
Key
The management consulting industry can be defined in multiple ways. Defining it according to service offering breadth and product vs. consultant led not only examines market placement, but also business strategy focus
BearingPoint’s present position in the management consulting industry offers opportunities to attract
clients, seeking holistic solutions, away from traditionally focused strategy consulting firms
Quadrant 4 firms primarily focus on pre-merger service offerings
Quadrant 1 firms attempt to achieve balance in M&A service offerings
36
COMPETITIVE ANALYSIS – SWOT: Broad Service Offerings / Tailored Solution
Accenture
BearingPoint
Deloitte
PRTM
Strengths Weakness Opportunities Threats
Abi
lity
to p
rovi
de h
olis
tic s
olut
ion
Bro
adly
focu
sed
Not
sou
ght
to p
rovi
de in
-dep
th e
xper
tise
Larg
e m
arke
t rea
ch p
rovi
des
oppo
rtun
ities
for
grow
th in
st
rate
gy c
onsu
lting
eng
agem
ents
Attr
activ
enes
s of
sub
stan
tial r
even
ues
is e
ncou
ragi
ng
trad
ition
al s
trat
egy-
focu
sed
cons
ultin
g fir
ms
to e
xpan
d of
ferin
gs a
nd s
eek
acqu
isiti
ons
prov
idin
g co
mpl
emen
tary
se
rvic
es
• Gov’t ties
• Capabilities designed to
generate revenue and reduce costs
• Depth of experience
• Massive man power
• Multi-disciplinary
nature
• Known in national &
global markets
• Strong tech capabilities
• Strong culture
• Too reliant on certain
industries
• Utilize capabilities to expand into additional industries capturing
market share
• High competition in
saturated industries
Quadrant 1
BearingPoint’s ability to become a major player in M&A hinges on its ability to offer clients strong strategic as well practical solutions & implementation
Industry diversification across services including M&A will be essential in maximizing profit potential
37
COMPETITIVE ANALYSIS – SWOT: Narrow Service Offerings / Tailored Solution
AT Kearney
Booz Allen Hamilton
Bain & Company
BCG
McKinsey
Strengths Weakness Opportunities Threats
High Brand Equity
top-level engagements
Global Reach
Mostly privatized
allowing for sustainability of competitive advantages
Narrowly focused
Inability to proved complete solution
Inability to generate revenues comparable
to broad service providers
• EDS merger
• Foundation in tech sectors
• Cross sector work
• Govt. consulting
• Clients outperform market 3:1
• Small-Med. Sized client base
• Strong culture
• Known as a solution
innovator
• Strong culture
• Considered most powerful
• Serves more than 2/3 of
Fortune 1000
Opportunity to expand services, capturing greater
market share
Reputation creates extensive
opportunities for joint venture relationships
Threat of broader providers seeking to
obtain more “Strategy” work
Specificity of services leading to loss of clients
seeking one-stop solutions
Quadrant 4
Market Leaders are not invincible, but they recognize the need to protect industry position and are active in doing so
38
COMPETITIVE ANALYSIS – Attempt to Quantify Firm Success
Multi-Variable Linear Regression Analysis
Dependent variable: sales/employee
Independent variables: years established
# of industries served
# of services available
brand equity
An attempt was made to identify and quantify industry key success factors through public sources of information and a multiple-variable linear regression analysis
Results were both economically & statistically inconclusive
39
Transaction Value (in Billions) $1
31,9
46.
9
$8
3,8
81.8
$71,
766
.4
$2
6,9
53.1
$23,
205
.2
$2
0,0
91.6
$16,
648
.3
$1
4,9
14.8
$13,
053
.3
$9
,74
6.0
$9
,41
9.3
$8
,41
9.4
$7
,45
3.3
$6
,70
6.4
$6
,41
0.9
$6
,00
0.9
$5
,82
0.3
$5
,74
4.2
$4
,83
8.1
$4
,32
1.1
$3
,89
0.7
$3
,04
6.6
$2
,59
3.4
$2
,59
1.3
$2
,30
4.0
$1
,73
4.9
$1
,73
1.9
$1
,34
6.5
$1
,13
4.3
$8
81.9
$523
.8
$4
96.8
$447
.1
Industries Listed from highest to lowest Deal Value
Nu
mb
er o
f In
du
strie
s S
erv
ed
Ind
ustr
y of
ferin
gs
Alig
ned
w/ B
earin
g P
oin
t
B
ankin
g &
Fin
ance
Le
isure
& E
nte
rtain
ment
C
om
munic
ati
ons
C
om
pute
r S
oft
ware
, S
upplie
s &
SV
C's
D
rugs,
Medic
al S
upplie
s &
Equip
ment
R
eta
il
Oil
& G
as
B
roadca
stin
g
Chem
icals
, Pain
ts &
Coati
ngs
H
ealt
h S
erv
ices
W
hole
sale
& D
istr
ibuti
on
In
sura
nce
M
inin
g &
Min
era
ls
Real Est
ate
Paper
Ele
ctri
cal Equip
ment
Ele
ctro
nic
s
Indust
rial &
Farm
Equip
ment
& M
ach
inery
Energ
y S
erv
ices
B
evera
ges
C
onst
ruct
ion M
inin
g &
Oil
Equip
& M
ach
.
Tra
nsp
ort
ati
on
H
ouse
hold
Goods
Fa
bri
cate
d M
eta
l Pro
duct
s
Tim
ber
& F
ore
st P
roduct
s
Appare
l
Furn
iture
Toys
& R
ecr
eati
onal Pro
duct
s
Aero
space
, A
ircr
aft
& D
efe
nse
A
uto
moti
ve P
roduct
s &
Acc
ess
ori
es
Toile
trie
s &
Cosm
eti
cs
Auto
s &
Tru
cks
B
uild
ing P
roduct
s
Accenture 25 14
ATKearney 13 10
Booz Allen Hamilton 19 13
Bain & Company 15 12
Boston Consulting Group 9 11
Bearing Point 22
Deloitte 9 9
McKinsey 18 13
PRTM 15 12
Roland Berger 10 9
Industries served by BearingPoint Industries served by competitors Industries not served by BearingPoint
COMPETITIVE ANALYSIS – Competitive Industry Comparison (M&A)
Although the industries BearingPoint is focusing on cultivating for M&A service business are highly active in deal volume, they are also highly competitive and saturated markets
40
Transaction Value (in Billions) $1
31,9
46.
9
$8
3,8
81.8
$71,
766
.4
$2
6,9
53.1
$23,
205
.2
$2
0,0
91.6
$16,
648
.3
$1
4,9
14.8
$13,
053
.3
$9
,74
6.0
$9
,41
9.3
$8
,41
9.4
$7
,45
3.3
$6
,70
6.4
$6
,41
0.9
$6
,00
0.9
$5
,82
0.3
$5
,74
4.2
$4
,83
8.1
$4
,32
1.1
$3
,89
0.7
$3
,04
6.6
$2
,59
3.4
$2
,59
1.3
$2
,30
4.0
$1
,73
4.9
$1
,73
1.9
$1
,34
6.5
$1
,13
4.3
$8
81.9
$523
.8
$4
96.8
$447
.1
Industries Listed from highest to lowest Deal Value
Nu
mb
er o
f In
dus
trie
s S
erv
ed
Ind
ustr
y of
ferin
gs
Alig
ned
w/ B
earin
g P
oin
t
B
ankin
g &
Fin
ance
Le
isure
& E
nte
rtain
ment
C
om
munic
ati
ons
C
om
pute
r S
oft
ware
, S
upplie
s &
SV
C's
D
rugs,
Medic
al S
upplie
s &
Equip
ment
R
eta
il
Oil
& G
as
B
roadca
stin
g
Chem
icals
, Pain
ts &
Coati
ngs
H
ealt
h S
erv
ices
W
hole
sale
& D
istr
ibuti
on
In
sura
nce
M
inin
g &
Min
era
ls
Real Est
ate
Paper
Ele
ctri
cal Equip
ment
Ele
ctro
nic
s
Indust
rial &
Farm
Equip
ment
& M
ach
inery
Energ
y S
erv
ices
B
evera
ges
C
onst
ruct
ion M
inin
g &
Oil
Equip
& M
ach
.
Tra
nsp
ort
ati
on
H
ouse
hold
Goods
Fa
bri
cate
d M
eta
l Pro
duct
s
Tim
ber
& F
ore
st P
roduct
s
Appare
l
Furn
iture
Toys
& R
ecr
eati
onal Pro
duct
s
Aero
space
, A
ircr
aft
& D
efe
nse
A
uto
moti
ve P
roduct
s &
Acc
ess
ori
es
Toile
trie
s &
Cosm
eti
cs
Auto
s &
Tru
cks
B
uild
ing P
roduct
s
Accenture 25 14
ATKearney 13 10
Booz Allen Hamilton 19 13
Bain & Company 15 12
Boston Consulting Group 9 11
Bearing Point 22
Deloitte 9 9
McKinsey 18 13
PRTM 15 12
Roland Berger 10 9
COMPETITIVE ANALYSIS – Competitive Industry Comparison (M&A)
Industries served by BearingPoint Industries served by competitors Industries not served by BearingPoint
Several industries heavily active in mergers and acquisitions are underserved. Furthermore some of these industries are areas where BearingPoint has competency
41
COMPETITIVE ANALYSIS – Competitive Service Offerings (M&A)
11% >M&A Offering
1% > M&A Offering
Boston Consulting
Group
Accenture AT Kearney
Booz Allen Hamilton
Bain & Company
Bearing Point
Deloitte McKinsey PRTM Roland Berger
7%17%
4%
14%
30%
19%
4%
20% 18%
5%
93%83%
96%
86%
70%
81%
96%
80% 82%
95%
0%
10%
20%
50%
30%
40%
60%
70%
80%
90%
100%
M&A Service Offerings as a Percentage of Overall Service Offerings
2% < M&A Offering
5% < M&A Offering
1% < M&A Offering
Services Unrelated to M&A
M&A Services
The following identified firms have made merger and acquisition services a primary portion of their overall service offering and will be BearingPoint’s primary competition within the M&A service market
42
COMPETITIVE ANALYSIS – Competitive Service Offerings (M&A)
Premerger Services
Strategy Articulation / Growth
Shareholder Value
Financial Due Diligence
Operational Due Diligence
Cultural Assessment
Pricing Analysis & Allocation
Valuation of Intangibles
Post Merger
Project Management Planning
Realizing Merger Synergies
Strategy Change
Integration & Alignment
Organizational Design
Change ManagementWork Force TransitionCommunication PlanCultural AlignmentEmployee RetentionCompensation/ Benefit Alignment
AT
Kea
rney
Number of Competing Services 4 5 3 8 5 6 6 8 1
Acc
entu
re
Boo
z A
llen
Bai
n &
C
ompa
ny
Bea
ring
Poi
nt
BC
G
Del
oitte
McK
inse
y
PR
TM
Rol
and
Ber
ger
50%
50%
50%
50%
80%
20%
100% 80%
20%
67%
33%
33%
67%
100% 70%
30% 100%
Value Preservation
Value Realization
Value Creation
Additionally firms that target M&A services as primary business focus share multiple service offerings with BearingPoint. Recognizing which services competitors are offering as well as if they focus on pre
or post-merger services will allow BearingPoint to tailor its service offerings more effectively
43
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
44
TRENDS – U.S. Mergers & Acquisitions
Most Active M&A Industries
By Dollar Value - 2003
Industry % of Total Value ($bil)
Investment & Commodity Firms
Food
Credit Institutions
Utilities
Real Estate
Business Services
$27.7
27.1
26.0
22.9
23.5
22.3
5.5%
5.4
5.2
4.6
4.7
4.4
Oil & Gas
Transportation & Shipping
Commercial Banks
Radio & TV Stations
21.4
21.2
18.2
16.4
4.3
4.2
3.6
3.3
Most Active M&A Industries
By Number of Deals - 2003
Industry % of Total No. of deals
Business Services
Insurance
Investment & Commodity Firms
Real Estate
Electronic & Electrical Equip
Software
999
457
226
198
221
194
16.7%
7.6
3.8
3.3
3.7
3.2
Measuring, Med. & Photo. Equip.
Durable Goods Wholesaling
Oil & Gas
Drugs
185
169
169
155
3.1
2.8
2.8
2.6
Speed of Completion
Deal closing is taking much longer post 9/11, with increased due diligence – John Nidecker, “The Trends of M&A” NVST. 14 Jan 2002
“In terms of the speed of completing a deal, tier-1 advisors were found to be more efficient in terms of the amount of time required to complete deals, other things equal.”
- Hunter & Jagtiani, “An analysis of advisor choice, fees, and effort in mergers and acquisitions.”
Advisor Switching Costs
“The more intense the prior banking relationship between the acquirer and the bank, the more likely it is that the bank will be chosen to advise the acquiring firm in a merger. This is because the acquirer extracts implicit or explicit commitments regarding access to bank loans in the future post-merger period.”-Julapa Jagtiani, Stavros Peristiani & Anthony Saunders. “The Role of Bank Advisors in Mergers and Acquisitions’
Investment Bank Consolidation
“The new phenomenon is that there are more and more deals with multiple advisors…” Downward forces on fees in the recent past “will ultimately force investment banks to think the unthinkable: merge with themselves.”-Raghavan, Anita. “Deals and Deal Makers: Artful Deal Advisers Look Beyond Quantity.” The Wall Street Journal. 11 Dec. 2003.
Prospects of M&A Activity
Survey of 1,301 Executives around the Globe:
45% Describe as good or excellent
46% Describe as fair
8% Describe as poor
Source: M&A: The Dealmaker’s Journal, March 2004 Vol. 39 No.3
Survey done by Thomson Financialz
45
TRENDS – Global Mergers & Acquisitions
Foreign Acquisitions of U.S Companies (1994-2003)
0
200
400
600
800
1000
1200
1400
1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
No.
of D
eals
0
50
100
150
200
250
300
No. of Deals
Value ($bil)
Countries Attracting U.S. Buyers - 2003
Advisor Value ($bil)# of Deals
United Kingdom
Australia
Germany
Japan
France
Canada
151
122
92
43
45
38
$21.1
4.2
11.6
10.7
2.4
3.0
China
Italy
Netherlands
India
34
28
28
27
1.0
0.3
2.2
1.7
Countries Most Active in U.S Acquisition - 2003
Advisor Value ($bil)# of Deals
Canada
Germany
Japan
France
Australia
United Kingdom
170
118
44
28
32
20
$7.6
4.0
0.9
1.3
10.2
8.6
Switzerland
Netherlands
Spain
Sweden
20
16
12
12
5.8
0.3
0.1
0.1
U.S. Acquisitions Overseas (1994-2003)
0
200
400
600
800
1000
1200
1400
1600
1800
2000
1992 1994 1996 1998 2000 2002 2004
No
. o
f D
eals
0
20
40
60
80
100
120
140
160
180
No. of Deals
Value ($bil)
Firms within the us have begun to look abroad for acquisitions in order to gain a global presence. Contrarily foreign firm interest in acquiring U.S. companies has trended downward sine 2002.
46
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
47
RECOMMENDATIONS
Identify means to become more active in pre-merger consulting – Joint ventures / alliances w/ investment banking firms realizing high
deal volume
– Utilize “holistic solution approach” to attract customers early in the M&A process
Look to under-served industries as opportunities for growth in M&A revenue potential
Recognize industries served and services offered by competition in order to match BearingPoint capabilities with market needs
Increase transparency related to service offerings available within BearingPoint for M&A– M&A service website under SPT
48
QUESTIONS?
49
AGENDA
• Project Background & Approach
• Updated Tool Overview
• Reasons for Proposed Mergers
• Average Value of Proposed Mergers
• Companies With Unrealized Value
• Areas of Synergy
• Reasons for Failed Mergers
• Market Overview
• Pre-merger Market
• Post-merger Market
• Competitive Analysis
• Trends
• Recommendations
• Appendices
50
APPENDIX I: DATA SOURCES
Industries and companies based on original Bearing Point breakdown from master Excel file Sources:
– Securities and Exchange Commission: www.sec.gov
– # of Companies Source: Hoovers Online
– Market cap 2003 Source: www.yahoo.com
– M&A Activity Source: SDC Platinum
– Industry Betas: http://pages.stern.nyu.edu/~adamodar/New_Home_Page/datafile/Betas.html
– Average value of proposed mergers / Reasons for failed mergers
Sara B. Moeller, "Wealth destruction on a massive scale? “
51
APPENDIX IIA: DATA ASSUMPTIONS AND TIMELINE
1996 1997 1998 1999 2000 2001 2002 2003
Data incorporated into the unrealized value predictability tool included financial metrics between 1996 and 2003. This 8-year set of data was obtained via BearingPoint contact Humberto Garcia-Salas and was retrieved from the FactSet database. It was assumed that the data received reflected actual financial reporting of all companies analyzed. Also, the OSBI team assumed any missing data points were linked to FactSet downloading or database errors, and missing data points did not impact scoring, target selection, or other analyses.
Unrealized Value Predictability
Tool Company-Specific Data
Industry Selection Model Industry-Specific
Data
Unrealized Value Predictability Tool M & A Transaction
Focus
2000-2003 industry data (# of M & A transactions, beta, market cap, # of companies) was used to select target industries. Companies contributing to recent data are existing companies that completed M & A in the past and may require consulting for past or future strategic activities. The number of 2000-2003 M & A transactions for respective industries parallels the 1997-2000 M & A transaction distribution.
Data on the number of M & A transactions undertaken within Electronics and Banking industries, the reasons for the M & A activities, and industry drivers were obtained from 1997-2000 SDC Platinum database information and company-respective S-4 prospectus reports. Analysis of activities during this timeframe provided ample data for post-merger financial impact to be assessed and the unrealized value predictability tool’s usability to be confirmed.
52
APPENDIX IIB: INDUSTRY SELECTION SCENARIO WEIGHTING
Metric weighting:
– Industry Beta is used to evaluate M&A activity weighting using a logic test
• Decreases the weighting in situations where the industry beta is higher than 1
• Scenario 1: Base weight of 4
• Scenario 2: Base weight of 5
• Scenario 3: Base weight of 6
– Solver used to vary Number of Companies and Market Cap metrics in 3 different scenarios
• Scenario 1: Number of Companies base = 2.75, Market Cap base = 3.25
• Scenario 2: Number of Companies base = 1.5, Market Cap base = 3.5
• Scenario 3: Number of Companies base = 0.5, Market Cap base = 3.5
In the final analysis, we ignored Retail/Wholesale due to the diversity
53
APPENDIX IIC: INDUSTRY-SPECIFIC VALUE DRIVERS - ELECTRONICS
Value Drivers (based on S-4 cited merger reasons) Measures Rationale
Product list (Breadth of Service Offerings & solutions) Asset Turnover Shows how N/I changes with spending on Assets
Expertise in area (Technical Know How) Sales Per Employee Know-how generates more sales and better products
R&D capabilities (Complements Technical Spending) Asset Turnover Shows how N/I changes with spending on Assets
Resources (Threshold Size to compete with large players) Market Value Shows how you can capture greater market share
Tax Benefits (Taxation) Total Income Taxes Measures potential tax breaks
Alternative Non-M&A activities that improve competitive positionMarket-to-Book Value Measures how market perceives relative to book value
Increased size Would help increase the bargaining power COGS Ratio Shows change in COGS relative to increase in net sales
Distribution Channels (Network) Current RatioShows how cash equivalents changes relative to increase in spending
To generate cash to pursue further acquisition strategy Cash Equivalents Shows potential purchasing power & leverage capabilities
Economies of scale COGS Ratio Shows change in COGS relative to increase in net sales
Customer Relations (Combat growing competition)Change in Net Sales (as %) Opportunity to bring in more customers and sales
Financial Resources Debt-Equity RatioMeasurement shows leveraged amount & potential further resources
Workforce (access to experienced technical workforce) Sales Per Employee Know-how generates more sales and better products
Complementary products (Consolidate Product Offering) Asset Turnover Shows how N/I changes with spending on Assets
Brand Equity/LoyaltySales as % of Industry Sales Measures your Sales growth relative to industry average
Capture Market SegmentSales as % of Industry Sales Measures your Sales growth relative to industry average
The value drivers for electronics industry were linked to financial measures and metrics that could be calculated based upon the data received by the OSBI team.
54
APPENDIX IID: INDUSTRY-SPECIFIC VALUE DRIVERS - BANKING
Value Drivers (based on S-4 cited merger reasons) Measures Rationale
Share StrengthGain/Loss in Market Value (as %)
Measures how market/investors perceive merger & synergies
Broader product line Efficiency Ratio Doing more for less; expanding product line should expand
Financial Strength in Assets, Revenue Leverage Ratio Need to know if they are operating on debt
Ownership rights (merger percentage) Efficiency Ratio Measures how much return in operating income from activity
Financial Risk and superior performance to shareholders Return on Equity (ROE) Shows how they get increase in return for investments
Market share Sales Per Employee See how sales grow
Gaining Competitive Position Efficiency Ratio Does expansion allow the company to become more efficient
Opportunity to expand into domestic/international market Efficiency Ratio Does expansion allow the company to become more efficient
Marketing advantages Sales Per Employee See how sales grow
Greater distribution networkChange in Net Sales (as %) Opportunity to bring in more customers and sales
Bigger Management and Good economies of scale Efficiency Ratio Does expansion allow the company to become more efficient
Similar Vision and customer service/marketing approach Efficiency Ratio Does expansion allow the company to become more efficient
Good financial performances Return on Assets (ROA) Increase inflows compared to expansion
Specialized Service Expansion Efficiency Ratio Does expansion allow the company to become more efficient
Capital availability Leverage Ratio Assets increase to equity
Attractiveness to its future employeesGain/Loss in Market Value (as %) Increase in market shows company is doing better
The value drivers for banking industry were linked to financial measures and metrics that could be calculated based upon the data received by the OSBI team.
55
APPENDIX IIE: INDUSTRY-SPECIFIC VALUE DRIVERS - SOFTWARE
The value drivers for software industry were linked to financial measures and metrics that could be calculated based upon the data received by the OSBI team.
Value Drivers (based on S-4 cited merger reasons) Measures Rationale
Operating costs - salaries are big costs (Solution: Open source alternatives, outsourcing, etc.) SG&A/Net Sales SG&A is the most important factor in software
R&D spending (for product based companies) Asset Turnover Shows how N/I changes with spending on Assets
Penetration of Emerging/Expanding International Markets (particularly China)
Change in Net Sales (as %) Opportunity to bring in more customers and sales
Alliances/Partnerships w/ complementaryproduct mfgs. Asset Turnover Shows how N/I changes with spending on Assets
Market shareSales as % of Industry
Sales Measures your Sales growth relative to industry average
Growth areas: IT services to financial sector, banking and insurance; Wireless, BPO
Sales as % of Industry Sales Measures your Sales growth relative to industry average
56
APPENDIX IIF: INDUSTRY-SPECIFIC VALUE DRIVERS - Telecommunications
The value drivers for telecom industry were linked to financial measures and metrics that could be calculated based upon the data received by the OSBI team.
Value Drivers (based on S-4 cited merger reasons) Measures Rationale
Customer service --call center operations Current RatioShows how cash equivalents changes relative to increase in spending
Bundled technology Asset Turnover Shows how N/I changes with spending on Assets
Services--wireless, voice, data Asset Turnover Shows how N/I changes with spending on Assets
Geographic Reach --market size, customer baseSales as % of Industry Sales
Measures your Sales growth relative to industry average
Venture Backed startupsReturn on Equity (ROE) Shows how they get increase in return for investments
Technology-based subsidiary performance (IP/R&D)--indicator of underlying value Asset Turnover Shows how N/I changes with spending on Assets
Equipment manufacturers' performance (ie Motorola) Sales GrowthMeasures your Sales growth relative to industry average
R&D Spending for future network capabilities Asset Turnover Shows how N/I changes with spending on Assets
Mobile Game sector value within phones Asset Turnover Shows how N/I changes with spending on Assets
Multimedia messaging Asset Turnover Shows how N/I changes with spending on Assets
Wi-Fi Capabilities & Alliances Asset Turnover Shows how N/I changes with spending on Assets
57
APPENDIX IIE: VALUE DRIVERS APPROACH
Process for evaluating companies with respect to generic and company-specific value drivers
Determine generic financial ratios that can be used across all companies in all the
industries
Gathered merger data for all the
companies in the Industry List Analyzed
secondary data and the S-4
statements to
determine the drivers for each particular industry
Identified appropriate
financial measures
considering the
constraints of
information heldGathered
secondary research data
Gathered acquisition/
alliance data for all companies in
Industry List
Map financial
measures with each driver for a period of five years
Fact-Set data for the
selected industries
Generic Drivers(80% Total
Weight)
Industry Specific Drivers
(20% Total Weight)
Compare company specific data to industry
average
Realized Value Co.
Under- performed
Co.
Output
For all of the companies within the two selected industries, the OSBI Team evaluated their level of performance against generic and industry-specific drivers and compared to overall industry performance.
58
APPENDIX IIF: TOOL ARCHITECTURE
M&A Activities
Non-M&A Activities
Industry Specific Drivers
Industry Driver scoring
GenericDrivers
Generic Driverscoring
Composite Scoring
GenericDrivers
COMPANIES
GenericDriver
scoring
Unrealized value
from M&A
YES
Unrealized value potentially driven
by the four other hypotheses
YES
Compared to industry average
Score less than industry
average(< 0)
Score less than industry
average(< 0)
59
Appendix III: Industries with greatest merger activities
INDUSTRY NAME M&A Activity volume (2000 – 2003)
1 RETAIL/WHOLESALE 23,283
2 ELECTRONICS 2,409
3 SOFTWARE 2,388
4 PROFESSIONAL SERVICES 2,208
5 CAPITAL MARKETS & BANKING 2,202
6 LIFE SCIENCES 1,093
7 REAL ESTATE & HOSPITALITY 1,084
8 TELECOMMUNICATIONS 1,035
9 CONTENT 1,029
10 SERVICE PROVIDERS 938
11 OIL & GAS 852
12 INDUSTRIAL PRODUCTS 814
13 PROVIDERS 775
14 UTILITIES 667
15 PAYOR 493
16 TRANSPORTATION 473
17 NATURAL RESOURCES 468
18 INSURANCE & RISK MANAGEMENT 330
19 CHEMICALS 318
20 CONSUMER PACKAGED GOODS 263
21 AUTOMOTIVE 259
22 CABLE 210
Avg. M&A activity $1981
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Appendix IVA: Electronics: Reasons for proposed Mergers (full list)
Driver List Times Cited
Complementary Products (Consolidate Product Offering) 29
Expertise in Area (Technical Know How) 24
Capture Market Segment 20
Distribution Channels (Network) 18
Tax Benefits (Taxation) 17
Product list (Breadth of Service Offerings & solutions) 15
R&D capabilities (Complements Technical Spending) 9
Customer Relations (Combat growing competition) 8
Economies of scale 7
Financial Resources 7
Resources (Threshold Size to compete with large players) 6
Increased size Would help increase the bargaining power 6
To generate cash to pursue further acquisition strategy 2
Workforce (access to experienced technical workforce) 2
Alternative Non-M&A activities that improve competitive position 1
Brand Equity/Loyalty 1
Sources: Value Predictability Tool and Mergent Online
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Appendix IVB: Banking: Reasons for proposed Mergers (full list)
Driver List Times Cited
Financial Risk and Superior Performance to Shareholders 25
Financial Strength in Assets, Revenue 24
Broader Product Line 21
Bigger Management and Good Economies of Scale 20
Good Financial Performances 20
Opportunity to expand into domestic/international market 19
Gaining Competitive Position 18
Greater distribution network 17
Similar Vision and customer service/marketing approach 17
Specialized Service Expansion 16
Market share 15
Marketing advantages 13
Share Strength 5
Attractiveness to its future employees 5
Ownership rights (merger percentage) 4
Capital availability 4
Sources: Value Predictability Tool and Mergent Online
62
Appendix IVC: Software: Reasons for proposed Mergers (full list)
Driver List Times Cited
Alliances/Partnerships w/ Complementary Product Manufacturing 13
Market Share 7
Growth Areas (IT services to financial sector, banking and insurance; Wireless, BPO)
7
Operating costs - salaries are big costs (Solution: Open source alternatives, outsourcing, etc.) 3
R&D spending (for product based companies) 3
Penetration of Emerging/Expanding International Markets (particularly China) 2
Sources: Value Predictability Tool and Mergent Online
63
Appendix IVD: Telecommunications: Reasons for proposed Mergers (full list)
Driver List Times Cited
Geographic Reach (market size, customer base) 10
Services (wireless, voice, data) 9
Bundled Technology 6
Customer service --call center operations 3
Equipment manufacturers' performance (ie Motorola) 3
R&D Spending for future network capabilities 3
Wi-Fi Capabilities & Alliances 3
Technology-based subsidiary performance (IP/R&D)--indicator of underlying value 1
Mobile Game sector value within phones 1
Multimedia messaging 1
Venture Backed startups 0
Sources: Value Predictability Tool and Mergent Online
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Appendix VA: Companies with Negative Composite Scores: Electronics
Source: Value Predictability Tool
SILICON GRAPHICS INC -2.2094872
IMATION CORP -1.587692261
CIENA CORP -1.529922962
NATIONAL SEMICONDUCTOR CORP -1.396769166
MOTOROLA INC -1.388458967
WESTERN DIGITAL CORP -1.253487229
MAXTOR CORP -1.189871788
GATEWAY INC -1.028358936
NCR CORP -0.890153766
QUANTUM CORP -0.740821719
STORAGE TECHNOLOGY CP -0.678666711
HEWLETT-PACKARD CO -0.677409053
CIRRUS LOGIC INC -0.554717898
ACTERNA CORP -0.547692299
MATSUSHITA ELECTRIC -ADR -0.433307648
ANDREW CORP -0.372153878
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Appendix VB: Companies with Negative Composite Scores: Banking
EDWARDS (A G) INC -2.211359262
GATX CORP -2.00353837
AMERICAN EXPRESS -1.662852049
KEYCORP -1.487328768
HUNTINGTON BANCSHARES -1.44267416
PNC FINANCIAL SVCS GROUP INC -1.370769262
BANK OF HAWAII CORP -1.370648623
PEOPLES BANK BRIDGEPORT CT -1.041692257
MELLON FINANCIAL CORP -1.01178205
BANK OF AMERICA CORP -0.962519884
BANK ONE CORP -0.953601182
PRICE (T. ROWE) GROUP -0.93225646
COMERICA INC. -0.804512739
ASSOCIATED BANC CORP -0.57628417
BANK OF NEW YORK CO INC -0.570410252
JANUS CAPITAL GROUP INC -0.556717992
CIT GROUP INC -0.553129792
FRANKLIN RESOURCES INC -0.475589722
Source: Value Predictability Tool
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Appendix VB: Companies with Negative Composite Scores (Cont): Banking
FIRST TENNESSEE NATL CORP -0.464410275
ZIONS BANCORPORATION -0.457205087
J P MORGAN CHASE & CO -0.443846166
RAYMOND JAMES FINANCIAL CORP -0.356230766
INSTINET GROUP INC -0.344820499
FANNIE MAE -0.329794854
FLEETBOSTON FINANCIAL CORP -0.287746429
CENDANT CORP -0.255460292
MORGAN STANLEY -0.247141182
ASTORIA FINL CORP -0.233538449
ASTORIA FINL CORP -0.233538449
CONCORD EFS INC -0.17241025
REGIONS FINL CORP -0.113128185
REGIONS FINL CORP -0.113128185
SUNTRUST BANKS INC -0.032671109
COMPASS BANCSHARES INC -0.0250712
HOUSEHOLD INTERNATIONAL INC -0.012345679
STUDENT LOAN CORP -0.007589743
Source: Value Predictability Tool
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Appendix VC: Companies with Negative Composite Scores: Software
COMPUTER ASSOCIATES INTL INC -1.700864315
PARAMETRIC TECHNOLOGY CORP -1.51356411
BMC SOFTWARE INC -1.431567788
NOVELL INC -1.23310256
CADENCE DESIGN SYS INC -1.069992781
BEA SYSTEMS INC -0.9392308
NATIONAL INSTRUMENTS CORP -0.414487153
REYNOLDS & REYNOLDS -CL A -0.373435885
INTUIT INC -0.303007305
Source: Value Predictability Tool
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Appendix VD: Companies with Negative Composite Scores: Telecommunications
AT&T CORP -0.603128314
NEXTEL COMMUNICATIONS 0.102717966
US CELLULAR CORP 0.105794907
QWEST COMMUNICATION INTL INC 0.113666654
WESTERN WIRELESS CORP -CL A 0.484205127
SPRINT FON GROUP 0.51369226
LEVEL 3 COMMUN INC 0.888256371
Source: Value Predictability Tool
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Appendix VI: Areas of Synergy
Impact to the overall
performanceElectronics Banking Software Telecom
Strong ResourcesEconomies of scaleExpertise in area•Capture Market Segment
•Share StrengthMarketing advantagesMarket shareCapture Market Segment
Growth areas•Market share
Geographic Reach
Indifferent or adverse effect
•Complementary products•R&D capabilities•Increased size and the bargaining power•Product list
Gaining competitive positionBigger mgmt. and good economies of scaleAttractiveness to its future employees
•Alliances with complementary product mfgs.
Services--wireless, voice, dataBundled technology
70
Appendix VIIA: Areas of Synergy: Electronics
Drivers# of
firms stated
Correlation with Composite score
Resources (Threshold Size to compete with large players) 6 0.85
Economies of scale 6 0.81
Expertise in area (Technical Know How) 16 0.65
Capture Market Segment 12 0.56
Distribution Channels (Network) 6 0.47
Customer Relations (Combat growing competition) 6 0.44
Tax Benefits (Taxation) 7 0.26
R&D capabilities (Complements Technical Spending) 5 0.02
Complementary products (Consolidate Product Offering) 17 -0.01
Increased size Would help increase the bargaining power 6 -0.05
Product list (Breadth of Service Offerings & solutions) 10 -0.08
Financial Resources 0.75 (4 firms), Alternative Non-M&A activities that improve competitive position 0.93 (3 firms)
Strong positive
correlation
Weak correlation
“Resources” and “Economies of scale” have the strong impact to the firm’s overall performance. “Complementary products” and “R&D capabilities” are indifferent to the overall performance
71
Appendix VIIB: Areas of Synergy: Banking
Drivers # of firms Correlation
Share Strength 5 0.99
Marketing advantages 13 0.75
Market share 15 0.64
Greater distribution network 17 0.62
Financial Risk and superior performance to shareholders 24 0.33
Broader product line 21 0.33
Specialized Service Expansion 16 0.2
Similar Vision and customer service/marketing approach 17 0.19
Good financial performances 20 0.16
Opportunity to expand into domestic/international market 19 0.16
Bigger Management and Good economies of scale 20 0.14
Gaining Competitive Position 18 0.02
Attractiveness to its future employees 5 -0.15
Financial Strength in Assets, Revenue 25 -0.2
Strong positive
correlation
Weak correlation
Ownership rights (merger percentage) 0.91 (4 firms), Capital availability 0.53 (4 firms)
“Share Strength” and “Marketing Advantages” have the strong impact to firm’s overall performance. “Gaining Competitive Position” and “Economies of Scale” are indifferent to the overall performance.
72
Appendix VIIC: Areas of Synergy: Software
Drivers# of firms
statedCorrelation with Composite score
Growth areas: IT services to financial sector, banking and insurance; Wireless, BPO 7 0.86
Market share 7 0.76
Alliances/Partnerships w/ complementary product mfgs. 13 -0.36
Operating costs - salaries are big costs (Solution: Open source alternatives, outsourcing, etc.) -0.37 (3 firms),
R&D spending (for product based companies) -0.84 (3 firms),
Penetration of Emerging/Expanding International Markets (particularly China) N/A (2 firms)
Strong positive
correlation
negative correlation
“Growth Areas” and “Market Share” has the strong impact to firm’s overall performance. “Alliance with complementary product mfgs.” has the adverse effect.
73
Appendix VIID: Areas of Synergy: Telecommunications
Drivers# of firms
statedCorrelation with Composite score
Geographic Reach --market size, customer base 7 0.768438
Services--wireless, voice, data 7 -0.00909
Bundled technology 6 -0.02889
Wi-Fi Capabilities & Alliances -0.28 (3 firms),
Customer service --call center operations N/A (2 firms),
Equipment manufacturers' performance (ie Motorola) N/A (2 firms)
R&D Spending for future network capabilities N/A (2 firms)
Technology-based subsidiary performance (IP/R&D)--indicator of underlying value N/A (1 firms)
Mobile Game sector value within phones N/A (1 firms)
Multimedia messaging N/A (1 firms)
Venture Backed startups N/A (0 firms)
Strong positive
correlation
Weak correlation
“Geographic Reach” has the strong impact to firm’s overall performance. “Services” and “Bundled technology” are indifferent to the overall performance.
74
Appendix VIII: Five major areas of Synergy
Operating and managerial synergies
1. Vertical integration synergies
2. Economies of scale
3. Economies of scope
4. Market power to eliminate a competitor
5. Improved corporate governance (replacement of an inefficient management team)
6. Valuable new knowledge/skills
Competitive synergies
1. Pre-emption (prevent competitor from acquiring valuable assets)
2. Multiple point competition.
Options-based synergies
1. Value of real options in presence of uncertainty
2. Growth and learning
Synergy in Cross-Border Acquisitions
1. Sharing of valuable intangible assets in the presence of failure of factor or product markets
2. Market seeking activities and operational efficiency benefits in the presence of trade barriers
3. Financial diversification (Risk reduction from diversification)
4. Obtaining undervalued assets in the presence of capital market imperfections
5. Tax advantages in the presence of differential tax regimes
6. Reduction of agency costs in the presence of cross-national variations
Sources: Sara B. Moeller, "Wealth destruction on a massive scale?”/ “Mergers, Acquisitions, and Organizational Effectiveness” iPlanet/ “Market Failures” HBS 700127
Financial synergies
1. Internal capital market
2. Coinsurance