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Westside Acquisitions P.L.C.
Financial Benchmark: Methodology and Excerpt

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Westside Acquisitions P.L.C.
Financial Benchmark: Methodology and Excerpt


Audience: designed for financial managers, directors, CFOs, strategic planners
Author:Philip M. Parker, Professor, INSEAD
Price: $210
Pages: 276 pp
Published:
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Table of Contents

ABOUT THE AUTHOR(S)

ABOUT ICON GROUP LTD.

 

 

Methodology/Excerpt

INTRODUCTION & METHODOLOGY

WHAT DOES THIS REPORT COVER?

With the globalization of markets, greater foreign competition, and the reduction of entry barriers, it becomes all the more important to benchmark a company’s financial indicators against other firms on a worldwide basis. This report reflects to two inescapable trends: (1) a return to fundamentals, and (2) globalization. World stock markets have recently witnessed a return to fundamental financial analysis. Sound management as opposed to “hype” will in the long run generate shareholder value. This philosophy has lead to a greater emphasis on financial fundamentals and benchmarking. Not benchmarking in a traditional sense, but benchmarking at the global level as markets become all the more international and firms create transnational and global strategies. How does a firm's asset structure vary compared to global benchmarks? Does it hold more cash and other short term assets, or does it concentrate its assets in physical plant and equipment? On the liability side, does a company have a higher percent of payables compared to the benchmarks, or does it hold a higher concentration of long-term debt? The structure of the income statement is more telling. Does the firm have a relatively higher costs of goods sold, operating costs, or income taxes compared to its global benchmarks? Are their returns on equity higher? Are profit margins greater? Are inventories held longer?

While these are the classic questions raised in most graduate MBA courses on managerial finance, in a globalizing economy the method to answer these questions may not be simple. If we consider that an industry spans multiple countries, continents and currencies, how can one perform benchmarking? This report does so by going beyond traditional analyses by considering companies competing in the same or similar industrial classification at a global level. Doing so, however, is not an obvious task. First, one needs to find firms competing in the same sector, but not necessarily competing directly with the company in local markets. These firms should not be perceived, therefore, to be direct competitors to the company in question, but simply those that have been classified by various sources (e.g. EDGAR or similar foreign filings), as competing to serve customers in the same link of the value chain, or broad industrial classification, as identified by SIC, NAICS or similar codes. Second, given the international nature of the task, one needs to control for exchange rate volatility. Finally, one needs use reasonably comparable financial line items or standards.

The goal of this report is to save the reader time. It is designed to assist consultants, financial managers, strategic planners, and corporate officers in gauging indicators of a company’s financial structure compared to firms competing or participating in the same economic sector, at the global level. Westside Acquisitions P.L.C., is it financially competitive? There is no absolute answer to this question. This report is not about whether a particular company or industry has performed well or poorly in the past or will do so in the future. Such conclusions are left to the reader. Westside Acquisitions P.L.C. neither sponsored nor endorsed the analysis that follows.

METHODOLOGY

This report analyzes deviations between Westside Acquisitions P.L.C. (London, United Kingdom) and international industrial benchmarks. Based on the methodology described below, the following chapters report a common-size statement or vertical analysis of Westside Acquisitions P.L.C. vis-à-vis global benchmarks. In contrast to this report, most vertical analyses focus on benchmarking against domestic ratios, often published by government agencies or commercial sources (e.g. Value Line, Dun and Bradstreet, and Standard & Poor’s). This type of analysis is commonly conducted by creditors, prospective investors, chief financial officers, lenders, and a corporation’s strategic management team. For those unfamiliar with this type of analysis, frequently taught in graduate schools of business, the reader is recommended Jae K. Shim and Joel G. Siegel’s recent book titled Financial Management. In their discussion of financial statement analysis and ratios, Skim and Siegel (p. 42-43), describe common-size statement (vertical analysis) as follows:

A common-size statement is one that shows each item in percentage terms. Preparation of common-size statements is known as vertical analysis, in which a material financial statement item is used as a base value and all other accounts on the financial statement are compared to it. In the balance sheet, for example, total assets equal 100 percent, and each individual asset is stated as a percentage of total assets. Similarly, total liabilities and stockholders’ equity are assigned a value of 100 percent and each liability or equity account is then stated as a percentage of total liabilities and stockholders’ equity, respectively. … For the income statement, a value of 100 percent is assigned to net sales, and all other revenues and expense accounts are related to it. It is possible to see at a glance how each dollar of sales is distributed among various costs, expenses, and profits.

The authors suggest that vertical analyses involve industry-based comparisons. Such a comparison “allows you to answer the question, ‘How does a business fare in the industry?’ You must compare the company’s ratios to… industry norms.” (p. 43-44)

In this report, I calculate an industry norm by looking at firms at the global level, as opposed to a local level. In what follows, I will describe the seven-stage methodology used in performing this analysis. Each stage should be seen as a working assumption behind the numbers presented in later chapters.

Stage 1. Industry Classification. This stage begins by classifying the company into an industry. For this, I have relied on a combination of the North American Industry Classification System (NAICS pronounced “Nakes”), a relatively new system for classifying business establishments, and the older Standard Industrial Classification (SIC) system.  Adopted in 1997, NAICS codes are the new industry classification codes used by statistical agencies of the United States. NAICS was developed jointly by the U.S., Canada, and Mexico to provide comparability in statistics about business activity across North America. After 60 years of service, the outdated SIC system was retired on October 1, 2000, leaving only the NAICS codes for official use. The NAICS classification system adds some 350 new industries and represents a revision to over 60% of the previous SIC industries. Despite its official retirement, the SIC system is still commonly used (and often reported in firm’s financial statements).

For most companies in the world, classification within either the new NAICS or older SIC systems is a rather straight forward exercise. For some, however, it can be problematic. This is true for several reasons. The first being that the SIC or NAICS classification systems are rather broad for many product and industry categories (a firm’s products or services may be only a minor aspect of the classification’s definition). The second is that some firms’ activities span multiple codes. Finally, it is possible that a firm is classified by one source using its SIC code, and by another using its NAICS code, and by a third using both. Furthermore, some sources do not report either code, but instead use qualitative statements of the firm’s activities. Nevertheless, if one wishes to pursue a vertical analysis, some classification needs to take place which selects a peer group. In making this classification, one can rely on a number of sources. In some countries, firms must “self” classify in official periodic reports (e.g. annular reports, 10Ks, etc.) to public authorities (such as the Securities and Exchange Commission). These reports are then open for public scrutiny (e.g. EDGAR filings). In other cases, commercial data vendors or private research firms provide SIC/NAICS codes for specific companies. These include:

  • Bloomberg - www.bloomberg.com

  • Datastream (Thomson Financial) - www.datastream.com

  • Dun & Bradstreet - www.dnb.com

  • Hoovers - www.hoovers.com

  • InfoUSA - www.infousa.com

  • Investext (Thomson Financial) - www.investext.com

  • Kompass International Neuenschwander SA. – www.kompass.com

  • Primark (Thomson Financial) - www.primark.com

  • Profound (The Dialog Corporation – A Thomson Company) - www.profound.com

  • Reuters - www.reuters.com

  • Standard & Poor's - www.standardandpoors.com

It is interesting to note that commercial vendors often report different qualitative descriptions and industrial classifications from one to another. These descriptions and classifications may also be different from those reported by the firm itself. Anyone hoping to perform a benchmarking study, therefore, has to make a judgment call across these various sources in order to determine a reasonable classification. In this report, I have decided a meta-analytic process, by combining various sources (including linking a classification’s keywords to qualitative descriptions of the firm’s product line). In cases of inconsistency, the most recent or globally comparable available is chosen. Again, the overall goal is to classify firms, which either produce similar products, offer similar services, or are in the same stage of the value chain for a particular industrial classification. In the case of this report, the SIC code selected is: 73 which is defined as “Business Services”. This classification should be seen as a working assumption. In order to obtain a more detailed discussion of this classification, the reader is referred to the web sites developed by the U.S. Census Bureau: http://www.census.gov/epcd/www/naics.html. Basic definitions and descriptions are provided at: http://www.census.gov/epcd/www/drnaics.htm#q1. A full correspondence table between SIC and NAICS codes, and detailed definitions are given at http://www.census.gov/epcd/www/naicstab.htm.

Stage 2. Firm-level Data Collection. A global search is conducted across over 20,000 companies in over 40 major economies for those that (1) may be included in the classification from Stage 1, and (2) report financials (balance sheet and income statements). It should be noted that the public-domain financials can be either historic or projections. It should also be noted that even historic figures can be modified in the future and often represent “estimates” of performance.

Stage 3. Standardization. Once collected, public domain financial figures of firms identified in Stage 2 are standardize into comparable categories (assets, liabilities, and income). From there, we eliminate all currency effects by standardizing within each category (creating ratios). In order to maintain comparability over time and across companies and countries, vertical analysis is used. In the case of a firm’s assets, I treat the total assets as equaling 100, irrespective of the value of the local currency. All other assets are then calculated as a percent of total assets. In this way, the structure of the firm’s assets can be easily interpreted and compared with international benchmarks. For liabilities, total liabilities and equity are indexed to equal to 100. For the income statement, total revenue is indexed to equal 100, and all other figures are calculated as a percent of these figures.

Stage 4. Filtering. Not all the firms selected in Stage 2 or the ratios calculated in Stage 3 are used for the global benchmarks, as a number of companies are purposely dropped from the analysis, even though they may fall within the classification. This is justified by the “outlier” phenomenon that plagues such analysis. The problem lies in that any given company in the benchmarking pool may be facing some exceptional event or may be organized in an exceptional way so as to make its ratios vastly different from others in the same classification. By including such firms, the global benchmarks can be overly skewed. In many countries, firms are organized into holding groups. These groups nominally have very few employees (e.g. 4 to 25 employees), but have extremely large assets, liabilities, or revenues. As such, the inclusion or exclusion of firms having this form of management can affect the ratios and benchmarks reported. Likewise, some firms have no net sales, no assets, no liabilities, or ratios. Others have ratios that appear implausible for a normal or viable company. In order to not allow these firms to affect the global benchmarks, I have attempted to choose only those firms with reasonable financials. Finally, in some countries, detailed financials are not available or are not comparable to either the company in question or the global norm (e.g. various forms of depreciation). In this case, only those which exist and are comparable are reported. The details, therefore, that comprise a given ratio or set of ratios may not be reported. This may lead to the addition of several ratios, not summing to the whole.

Stage 5. Calculation of Global Norms. Once the filtering process has eliminated outliers, a final list of companies included in the global averages is compiled. In this report, the following companies are included (country of headquarters in parentheses, exchanges, and ticker symbols); again this list should be seen as a working assumption:

Company (Country)

Exchange

Ticker

Aaron Rents Incorporated (USA)

NAS

RNT A

Ablest, Inc. (USA)

ASE

AIH

ABM Industries Incorporated (USA)

NYSE, BSE, MSE, PBW,

ABM

ACCTON TECHNOLOGY (Taiwan)

TAI

ACI Telecentrics, Inc. (USA)

OTC

ACIT

Ackerley Group Incorporated (USA)

NYSE

AK

Acxiom Corp. (USA)

NAS

ACXM

ADE Corporation (USA)

NAS

ADEX

Adecco SA (Switzerland)

GVA, OTH, ZHR

ADEN

Admiral Plc (United Kingdom)

ADC

Adobe Systems Incorporated (USA)

MSE, NAS

ADBE

Advanced Digital Information Corpn (USA)

NAS

ADIC

Advanced Technology Services Limited (South Africa)

JNB

ADT

AdvancePCS (USA)

NAS

ADVP

Advent Software Incorporated (USA)

NAS

ADVS

Aegis Group PLC (United Kingdom)

MAD

AGS

Aggreko plc (United Kingdom)

LON

AGK

Agora SA (Poland)

WAR

AGORA

Aino NV (Netherlands)

AMS

Algeco (France)

PAR

ALG

Allbecon AG (Germany)

DUS, OTH

ABX

Alliance Data Systems Corp. (USA)

NYSE

ADS

Allied Telesis K.K. (Japan)

TYO

6835

Alpha Systems Inc. (Japan)

TYO

4719

AMBIT MICROSYSTEMS CORP (Taiwan)

TAI

American Dental Partners, Inc. (USA)

NAS

ADPI

American Management Systems, Incorporated (USA)

NAS

AMSY

American Software, Inc. (USA)

NAS

AMSWA

Analysts International Corporation (USA)

NAS

ANLY

Anite Group PLC (United Kingdom)

LON

AIE

Anixter International Incorporated (USA)

NYSE

AXE

AOL Time Warner, Inc. (USA)

NYSE

AOL

AremisSoft Corporation (USA)

OTC

AREM

Argo21corp (Japan)

TYO

4692

Ariane Group (Belgium)

BRU

ARI

Arinso International NV (Belgium)

BRU

ARIN

Art Technology Group Incorporated (USA)

NAS

ARTG

Articon Integralis AG (Germany)

DUS, OTH

AAG

Asatsu-DK, Inc. (Japan)

TYO

9747

Ashtead Group PLC (United Kingdom)

LON

AHT

ASI Solutions Incorporated (USA)

ASIS

Aspen Technology Incorporated (USA)

NAS

AZPN

ATC Healthcare, Inc. (USA)

OTC

ATCHA

ATI Technologies Inc (Canada)

TOR

ATY

Atos SA (France)

PAR

SAX

Aubay (France)

PAR

AUB

Ausy SA (France)

PAR

OSI

Autodesk Inc (USA)

NAS

ADSK

Avalix Groep N.V. (Netherlands)

AVALI

Avant! Corporation (USA)

NAS

AVNT

Baldwins Industrial Services Plc (United Kingdom)

LON

BLD

Barra Inc. (USA)

NAS

BARZ

Barrett Business Services, Inc (USA)

NAS

BBSI

BEC World Public Co Limited (Thailand)

BAN

BEC

Bechtle AG (Germany)

DUS, OTH

Bell Industries Incorporated (USA)

ASE

BI

Bellsystem24 Inc. (Japan)

TYO

9614

Biken Techno Corporation (Japan)

OSA

9791

Black Box Corporation (USA)

NAS

BBOX

BMC Software Inc. (USA)

NYSE

BMC

Brandon Hire PLC (United Kingdom)

LON

BDH

Brunel International N.V. (Netherlands)

AMS

BRNL

BSQUARE Corporation (USA)

NAS

BSQR

Business Objects (France)

PAR

BOB

CACI International Inc (USA)

NAS

CACI

Cadence Design Systems Inc (USA)

NYSE

CDN

Canon Software Inc. (Japan)

OTH

9623

Cap Gemini Ernst & Young S.A. (France)

PAR

CAP

Cap Gemini N.V. (Netherlands)

BRU, GVA, ZHR

CAP

Capcom Co., Ltd. (Japan)

OSA

9697

Catalina Marketing Corporation (USA)

NYSE

POS

Cats, Inc. (Japan)

TYO, OTH

9786

CCL Industries Incorporated (Canada)

MON, TOR

CCQ B

CDI Corporation (USA)

NYSE, MSE, PBW

CDI

Cenit AG Systemhaus (Germany)

DUS, FRA, OTH

CSH

Central Security Patrols Co., Ltd. (Japan)

TYO

9740

Cerner Corporation (USA)

NAS

CERN

CeWe Color Holding (Germany)

FRA, OTH

CWC

Ceyoniq AG (Germany)

DUS, FRA, OTH

CEE

Check Point Software Technologies Ltd. (Israel)

FRA, OTH

Cheil Communications Inc. (South Korea)

SEO

30000

Chiyoda Integre Company Limited (Japan)

OTH

6915

Cider Sante SA (France)

PAR

CID

Cisco Systems Incorporated (USA)

NAS

CSCO

Citrix Systems Inc (USA)

NAS

CTXS

CMG PLC (United Kingdom)

LON

CMG

CoActive Marketing Group, Inc. (USA)

NAS

CMKG

Cofidur Societe Anonyme (France)

PAR

COF

Cognizant Technology Solutions Corpn (USA)

NAS

CTSH

Cognos Incorporated (Canada)

NAS, TOR

CSN

COMFORCE Corporation (USA)

ASE

CFS

Comptel Oyj (Finland)

HEL

CTL1V

Compucom Systems Inc (USA)

NAS

CMPC

CompuDyne Corporation (USA)

NAS

CDCY

Computacenter PLC (United Kingdom)

LON

CCC

Computer Engineering & Consulting Ltd. (Japan)

TYO

9692

Computer Network Technology Corporation (USA)

NAS

CMNT

Computer Sciences Corporation (USA)

NYSE, BSE, MSE, PBW,

CSC

Compuware Corporation (USA)

NAS

CPWR

Comverse Technology Incorporated (USA)

NAS

CMVT

Copart, Inc. (USA)

NAS

CPRT

Cordiant Communications Group PLC (United Kingdom)

LON

CRI

Corpcom Limited (South Africa)

JNB

CPM

Creo Products Incorporated (Canada)

TOR

CRE

Creyf's NV (Belgium)

BRU

CREI

Crown Group, Inc. (USA)

NAS

CNGR

d+s online AG (Germany)

FRA

Daiwa Kosho Lease Co., Ltd. (Japan)

OSA, TYO

9762

Dassault Systemes SA (France)

PAR, OTH

DSY

Data Communication System Co., Ltd. (Japan)

TYO

9682

Deltek Systems Inc (USA)

NAS

DLTK

Dendrite International Inc (USA)

NAS

DRTE

Devoteam SA (France)

PAR

7379

Diamond Computer Service Co., Ltd. (Japan)

TYO

9645

Diamond Lease Company Limited (Japan)

TYO

8593

Digital China Holdings Ltd. (Hong Kong)

HKG

Dimension Data Holdings Plc (United Kingdom)

LON

DIS Deutscher Industrie Service AG (Germany)

DUS, FRA, OTH

DDE

Documentum, Inc. (USA)

NAS

DCTM

DST Systems Inc. (USA)

NYSE

DST

Econocom Group SA (Belgium)

BRU

ECON

Ecsoft Group Plc. (United Kingdom)

LON

ECS

EDB Business Partner ASA (Norway)

OSL

EDB

EDB Gruppen A.S. (Denmark)

CPH

EDB

Electro Rent Corp. (USA)

NAS

ELRC

Electronic Arts. Inc. (USA)

NAS

ERTS

Electronic Data Systems Corporation (USA)

NYSE

EDS

Eloyalty Corporation (USA)

NAS

ELOY

Enea Data AB (Sweden)

STO

ENEA

Enterprise Plc (United Kingdom)

LON

ETR

Entra Data AB (Sweden)

ENTR-A

Equifax, Incorporated (USA)

NYSE, MSE, PBW

EFX

ESR (France)

PAR

7296

Eurodirect Marketing S.A. (France)

PAR

5449

EuroGuard (France)

PAR

F.Y.I. Incorporated (USA)

NAS

FYII

Fair Isaac & Co Incorporated (USA)

NYSE

FIC

Filenet Corporation (USA)

NAS

FILE

Fininfo (France)

PAR

FIF

First Data Corporation (USA)

NYSE

FDC

Fiserv Incorporated (USA)

NAS

FISV

FJA AG (Germany)

FRA

FJA

Formula Systems (1985) Ltd. (Israel)

TEL

Founder (Hong Kong) Limited (Hong Kong)

HKG

418

Foundry Networks Inc (USA)

NAS

FDRY

Frontstep, Inc. (USA)

NAS

FSTP

Fuji Soft ABC Incorporation (Japan)

TYO

9749

Fujitsu Support and Services Inc. (Japan)

TYO, OTH

4706

Galileo International, Inc. (USA)

NYSE

GLC

Gerber Scientific Inc. (USA)

NYSE, BSE, MSE, PBW,

GRB

Getronics NV (Netherlands)

AMS

GTN

GFI Informatique (France)

PAR

GFI

GFT Technologies AG (Germany)

DUS, OTH

GFT

Great Plains Software, Inc. (USA)

NAS

GPSI

Grey Global Group Incorporated (USA)

NAS

GREY

Groupe Crit (France)

PAR

CEN

Groupe Focal (France)

PAR

GFO

Groupe Silicomp (France)

PAR

6379

Groupe Sodifrance SA (France)

PAR

7256

Groupe Steria (France)

PAR

RIA

Grupo Picking Pack SA (Spain)

OTH

GPP

Gruppo Finmatica SpA (Italy)

ISE

FIN

Hall Kinion & Associates Incorporated (USA)

NAS

HAKI

Harte-Hanks Incorporated (USA)

NYSE

HHS

Harvey Nash Group plc (United Kingdom)

LON

HVN

Headway Corporate Resources, Inc. (USA)

NAS

HEA

Healthcare Services Group Inc (USA)

NAS

HCSG

Heidrick & Struggles International, Inc. (USA)

NAS

HSII

Hewden Stuart Plc (United Kingdom)

LON

HEWS

Hitachi Information Systems, Ltd. (Japan)

TYO

9741

Hitachi Software Engineering Co., Ltd. (Japan)

TYO

9694

Hotel Reservations Network, Inc. (USA)

NAS

ROOM

Hummingbird Limited (Canada)

TOR, OTH

HUM

Hypercom Corporation (USA)

NYSE

HYC

Hyperion Solutions Corporation (USA)

NAS

HYSL

Hyundai Info.Tech. (South Korea)

SEO

26180

I S B Corporation (Japan)

OTH

9702

IBS AB Publikt Aktiebolag (Sweden)

STO

IBS-B

ICT Automatisering N.V. (Netherlands)

NZL

ICT

ICT Group, Inc. (USA)

NAS

ICTG

IDS Scheer AG (Germany)

DUS, FRA, OTH

IDS

Igate Capital Corporation (USA)

NAS

IGTE

Imation Corporation (USA)

NYSE

IMN

Impresa S.G.P.S. S.A. (Portugal)

LIS

IMS Health Incorporated (USA)

NYSE

RX

Incepta Group Plc (United Kingdom)

LON

ITA

Indra Sistemas (Spain)

MAD, OTH

IDR

Ines Corporation (Japan)

OSA, TYO

9742

Inet Technologies Incorporated (USA)

NAS

INTI

Infonet Services Corporation (USA)

NYSE

IN

INFORMATION CREATIVE CO., LTD. (Japan)

OTH

4769

Information Resources Incorporated (USA)

NAS

IRIC

Infosys Technologies Limited (India)

BOM

INFY

Ing. C. Olivetti & C., S.p.A. (Italy)

BRU, FRA, PAR, ISE,

OL

Inktomi Corporation (USA)

NAS

INKT

Innodata Corporation (USA)

NAS

INOD

Intec Inc. (Japan)

TYO, OTH

9738

Integrated Systems, Inc. (USA)

NAS

Interep National Radio Sales, Inc. (USA)

NAS

IREP

Intergraph Corporation (USA)

NAS

INGR

Interior Services Group Plc (United Kingdom)

LON

ISG

Internet Security Systems, Inc. (USA)

NAS

ISSX

InterVoice-Brite, Inc. (USA)

NAS

INTV

Intrasoft SA (Greece)

ATH

INSOR

Iona Technologies Plc (Ireland)

DUB

ISS A.S. (Denmark)

CPH

ISS-B

Itautec Philco S/A (Brazil)

SOP

Itelligence A.G. (Germany)

DUS

IX Knowledge Incorpoated (Japan)

OTH

9753

Japan Information Processing Service Co. (Japan)

TYO

9777

Japan Maintenance Co., Ltd. (Japan)

OSA

9787

Jastec Co., Ltd. (Japan)

OTH

9717

JDA Software Group Incorpated (USA)

NAS

JDAS

Jippii O.Y.J. (Finland)

HEL

Juniper Networks Inc (USA)

NAS

JNPR

Jurong Technologies Industrial Corpn Ltd (Singapore)

SIN

Kanamoto Co., Ltd. (Japan)

TYO, OTH

9678

KAZ Computer Services Limited (Australia)

SYD

Keane Incorporated (USA)

ASE

KEA

Kelly Services Incorporated (USA)

NAS

KELYA

Kewill Systems Plc (United Kingdom)

LON

KWL

Kforce Inc. (USA)

NAS

KFRC

Kleindienst Datentechnik AG (Germany)

DUS, OTH

KLD

Korn/Ferry International (USA)

NYSE

KFY

Kronos Incorporated (USA)

NAS

KRON

Labor Ready Inc (USA)

NYSE

LRW

Landis Group NV (Netherlands)

NZL

LANDS

Lason, Inc. (USA)

OTC

LSON

Lavendon Group PLC (United Kingdom)

LON

LVD

LCI Technology Group NV (Netherlands)

AMS

LCI

Lectra Systemes (France)

OTH

LSS

Logica plc (United Kingdom)

LON

LOG

Lusomundo Media SGPS S.A. (Portugal)

LIS

JGT

Lynx Group PLC (United Kingdom)

LON

LNX

M.M.T. Computing plc (United Kingdom)

LON

MMT

M+S Elektronik AG (Germany)

DUS

MUS

MacLellan Group PLC (United Kingdom)

LON

MLG

Macromedia Inc. (USA)

NAS

MACR

Magic Software Enterprises Limited (Israel)

TEL

Manhattan Associates Incorporated (USA)

NAS

MANH

MapInfo Corporation (USA)

NAS

MAPS

marchFIRST, Inc. (USA)

NAS

MRCHQ

Mastek Limited (India)

BOM

Mears Group PLC (United Kingdom)

LON

MER

Media 6 (France)

PAR

EDI

MemberWorks Incorporated (USA)

NAS

MBRS

Mentor Graphics Corporation (USA)

MSE, NAS

MENT

Mercury Interactive Corporation (USA)

NAS

MERQ

Metasolv Incorporated (USA)

NAS

MSLV

Metro Information Services Incorporated (USA)

NAS

MISI

Metro One Telecommunications, Inc. (USA)

NAS

MTON

MGX Holdings Limited (South Africa)

JNB

MGX

MICE Group Plc (United Kingdom)

LON

MEG

Micromuse Inc. (USA)

NAS

MUSE

Microsoft Corporation (USA)

MSE, NAS

MSFT

Midway Games, Inc. (USA)

NYSE

MWY

Miroku Jyoho Service Co., Ltd. (Japan)

TYO

9928

MKC-STAT Corporation (Japan)

TYO

9750

Modis Pro Services Incorporated (USA)

NYSE

MPS

Mphasis BFL Ltd (India)

BOM

MPW Industrial Services Group, Inc. (USA)

NAS

MPWG

MRO Software Inc. (USA)

NAS

MROI

MSC Software Corporation (USA)

NYSE, MSE

MNS

National Data Corporation (USA)

NYSE

NDC

National Equipment Services, Inc. (USA)

NYSE, BSE, CIN, PBW,

NSV

National Processing Incorporated (USA)

NYSE

NAP

National TechTeam, Inc. (USA)

NAS

TEAM

Navision A.S. (Denmark)

CPH, OTH

NAVI

NCR Corporation (USA)

NYSE

NCR

NEC System Integration & Construction (Japan)

TYO

1973

Neff Corp. (USA)

NYSE

NFF

Nemetschek AG (Germany)

DUS, FRA, OTH

NEM

Neopost S.A. (France)

PAR

NEO

Nestor Healthcare Group PLC (United Kingdom)

MAD

NSR

Nice Systems Ltd. (Israel)

TEL

NICE

Nippon Computer System Co., Ltd. (Japan)

OSA

9709

Nippon Kanzai Co., Ltd. (Japan)

OSA

9728

Nippon System Development Company Limited (Japan)

OSA

9759

Nippon Systemware Co., Ltd. (Japan)

TYO, OTH

9739

Nishio Rent All Co., Ltd. (Japan)

OSA

9699

Nomura Co., Ltd. (Japan)

TYO

9716

Novell Inc (USA)

MSE, NAS

NOVL

OAO Technology Solutions, Inc. (USA)

NAS

OAOT

OBIC Co., Ltd. (Japan)

TYO, OTH

4684

Observer AB (Sweden)

STO

SIFO-A

Omnicom Group Incorporated (USA)

NYSE

OMC

Omnium de Gestion et de Developpement Immobilier (France)

PAR

CGM

Onyx Software Corporation (USA)

NAS

ONXS

Oracle Corporation (USA)

MSE, NAS

ORCL

Oracle Corporation Japan (Japan)

TYO

4716

Ordina NV (Netherlands)

AMS

ORDI

Orix Corporation (Japan)

OSA, TYO, OTH

8591

Parity Group plc (United Kingdom)

LON

PTY

Partnertech Ab (Sweden)

STO

PART

PEC Solutions, Inc. (USA)

NAS

PECS

Penton Media Incorporated (USA)

NYSE

PME

Peoplesoft Incorporated (USA)

NAS

PSFT

Personnel Group of America Inc. (USA)

NYSE

PGA

Phoenix Technology (USA)

NAS

PTEC

Photobition Group Plc (United Kingdom)

LON

PHB

PHS Group P.L.C. (United Kingdom)

LON

Pittston Brink's Group (USA)

NYSE, BSE, CIN, MSE,

PZB

Podnik Vypocetni Techniky AS (Czech Republic)

PRG

Pomeroy Computer Resources, Inc. (USA)

NAS

PMRY

Poolia Ab (Sweden)

STO

POOL-B

Portal Software Incorporated (USA)

NAS

PRSF

Preferred Employers Holdings, Inc. (USA)

OTC

PEGI

Primetech Electronics Inc (Canada)

TOR

PME

Professional Detailing Incorporated (USA)

NAS

PDII

Proffice AB (Sweden)

STO

PROE-B

Progress Software Corporation (USA)

NAS

PRGS

Prosegur Compania de Seguridad S.A. (Spain)

OTH

PSG

PSI Data Systems Ltd. (India)

BOM

Publicis S.A. (France)

PAR

PUB

Publigroupe A.G. (Switzerland)

GVA, OTH, ZHR

PUBN

Radiant Systems Inc (USA)

NAS

RADS

Rainbow Rentals, Inc. (USA)

NAS

RBOW

Rainbow Technologies Incorporated (USA)

NAS

RNBO

Rand A Technology Corporation (Canada)

TOR

RND

RCM Technologies, Inc. (USA)

NAS

RCMT

RCO Holdings Plc (United Kingdom)

RHL

realTech AG (Germany)

FRA

RTC

Reed Executive PLC (United Kingdom)

LON

RDX

Reliance Security Group Plc (United Kingdom)

LON

RSG

Remedy Corporation (USA)

NAS

Remedytemp Inc (USA)

NAS

REMX

Renaissance Learning, Inc. (USA)

NAS

RLRN

Rent-Way, Inc. (USA)

NYSE

RWY

Reynolds & Reynolds Company (USA)

NYSE, MSE, PBW

REY

Ricoh Leasing Company, Ltd. (Japan)

TYO

8566

RM plc (United Kingdom)

LON

RM

Robert Half International Incorporated (USA)

NYSE

RHI

Robotic Technology Systems Plc (United Kingdom)

LON, OTH

RTS

royalblue group plc (United Kingdom)

LON

RYB

Ryoyo Electro Corporation (Japan)

TYO

8068

S1 Corporation (South Korea)

SEO

12750

Sanix Incorporated (Japan)

OSA, TYO, OTH

4651

Sap AG Systeme Anwendungen Produkte in der Datenverarbeitun

DUS, FRA, OTH, ZHR

SAP

Sapient Corporation (USA)

NAS

SAPE

Sapura Telecommunications Berhad (Malaysia)

KUL

STBS

Satyam Computer Services Limited (India)

BOM

Schawk, Inc. (USA)

NYSE, MSE

SGK

Science Systems Plc (United Kingdom)

LON

SSY

SCM Microsystems, Inc. (USA)

NAS

SCMM

Seartec Limited (South Africa)

JNB

SET

Seat Pagine Gialle S.p.A. (Italy)

ISE

SPG

Secom Co Ltd (Japan)

OSA, TYO

9735

Securicor PLC (United Kingdom)

LON

SCR

Securitas AB (Publ) (Sweden)

STO

SECU-B

SEI Investment Co (USA)

NAS

SEIC

Sema Plc (United Kingdom)

LON

SEM

Semcon Ab (Sweden)

STO

SEMC

SER Systeme AG (Germany)

DUS, FRA, OTH

SES

SGS Societe Generale de Surveillance Holding Societe Anonym

GVA

SGSI

Simcorp AS (Denmark)

CPH

SIM

Singapore Computer Systems Limited (Singapore)

SIN

S33

Sira Business Services Plc (United Kingdom)

LON

SIB

Sitel Corporation (USA)

NYSE

SWW

Skilled Engineering Limited (Australia)

MBE, SYD

SNT Group NV (Netherlands)

AMS

Societe Generale D'Affichage (Switzerland)

OTH, ZHR

AFFN

Softbank S.A. (Poland)

OTH, WAR

Software AG (Germany)

DUS, FRA, OTH

SOW

Software Spectrum, Inc. (USA)

NAS

SSPE

Soleri (France)

PAR

SOI

Sopra Group (France)

PAR

SOP

SOS Staffing Services, Inc. (USA)

NAS

SOSS

SPAR Group, Inc. (USA)

NAS

SGRP

Spector Photo Group SA (Belgium)

BRU

SPE

Spherion Corporation (USA)

NYSE

SFN

SPSS Inc. (USA)

NAS

SPSS

SR Teleperformance (France)

PAR

RCF

Staff Leasing, Inc. (USA)

NAS

GVHR

Startek Incorporated (USA)

NYSE

SRT

Strategic Distribution, Inc. (USA)

NAS

STRD

Strongco Inc (Canada)

TOR

SQP

Sumisho Computer Systems Corporation (Japan)

TYO

9719

Sumitomo Corporation's Leasing, Ltd. (Japan)

OSA, TYO

8592

SunGard Data Systems Inc. (USA)

NYSE

SDS

Sybase Incorporated (USA)

NYSE

SY

Sycamore Networks, Inc. (USA)

NAS

SCMR

Sykes Enterprises, Inc (USA)

NAS

SYKE

Symantec Corporation (USA)

NAS

SYMC

Synergie S.A. (France)

PAR

SDG

Synergon Informatika Rt (Hungary)

OTH, BUD

Syntel Incorporated (USA)

NAS

SYNT

Systematics AG (Germany)

DUS, OTH

YYS

Systems & Computer Technology Corp (USA)

NAS

SCTC

Systex Corp. (Taiwan)

TAI

Tab Products Co. (USA)

BSE, ASE

TBP

Take-Two Interactive Software Incorporated (USA)

NAS

TTWO

TDC SOFTWARE ENGINEERING Inc. (Japan)

OTH

4687

TDS Informationstechnologie AG (Germany)

DUS, FRA, VIE, OTH

TDS

Teamlog S.A. (France)

PAR

TLO

Techem AG & Co (Germany)

FRA

TNH

Technisource, Inc. (USA)

NAS

TSRC

Tecnomen Oyj (Finland)

HEL

Teleca A.B. (Sweden)

STO

SIGM-B

Telefonica Publicidad e Informacion S.A. (Spain)

FRA, MAD, OTH

Telelogic AB (Sweden)

STO

TLOG

Teleplan International N.V. (Netherlands)

AMS, DUS, FRA

Teletech Holdings Inc (USA)

NAS

TTEC

Telindus Group NV (Belgium)

BRU

TEL

Tempo Services Limited (Australia)

SYD

TEM

Tempus Group PLC (United Kingdom)

LON

TSG

The Interpublic Group of Cos Inc (USA)

NYSE, MSE, TOR

IPG

The Sage Group PLC (United Kingdom)

LON

SGE

Thiel Logistik AG (Luxembourg)

DUS, LUX

Tier Technologies, Inc. (USA)

NAS

TIER

Tietoenator Oyj (Finland)

HEL

TIE1V

Timberline Software Corporation (USA)

NAS

TMBS

TKC Corporation (Japan)

TYO

9746

TMP Worldwide Inc (USA)

NAS

TMPW

Tokyo Biso Kogyo Corporation (Japan)

TYO

9615

Tokyo Leasing Co., Ltd. (Japan)

TYO

8579

TOKYO Lithmatic Corporation (Japan)

OTH

7861

Torex PLC (United Kingdom)

LON

TOX

Tosnet Corporation (Japan)

OTH

4754

Total System Services, Inc. (USA)

NYSE, MSE, PBW

TSS

Toukei Computer Co., Ltd. (Japan)

TYO

4746

Toyo Information Systems Inc. (Japan)

OSA, TYO

9751

Toyo Tec Co., Ltd. (Japan)

OSA

9686

Trans Cosmos Inc. (Japan)

TYO

9715

Transaction Systems Architects Inc (USA)

NAS

TSAI

Trend Micro Incorporated (Japan)

OSA, TYO, OTH

4704

TV 4 AB (publ) (Sweden)

STO

TV4-A

UBI Soft Entertainment S.A. (France)

PAR

UBI

Unigraphics Solutions Inc (USA)

NYSE

UGS

Unilog (France)

PAR

UNG

United Rentals Inc (USA)

NYSE

URI

United Services Group NV (Netherlands)

AMS

UNIQ

Universal Compression Holdings, Inc. (USA)

NYSE

UCO

Utility Services Corporation (Australia)

SYD

TEC

Vedior NV (Netherlands)

AMS

VDOR

Vestcom International, Inc. (USA)

NAS

VESC

Viad Corporation (USA)

NYSE, BSE, CIN, MSE,

VVI

Vivendi Universal SA (France)

PAR

EX

Volt Information Sciences, Inc. (USA)

NYSE

VOL

VP Plc. (United Kingdom)

MAD

VBRO

Wackenhut Corpn (USA)

NYSE, MSE

WAK

Wall Data Incorporated (USA)

NAS

Wesco Financial Corporation (USA)

CIN, PCS, ASE

WSC

Westaff Incorporated (USA)

NAS

WSTF

WM-Data AB (Sweden)

STO

WM-B

WPP Group Public Limited Company (United Kingdom)

NAS, LON

WPP

Xansa Plc. (United Kingdom)

LON

FI

XeTel Corporation (USA)

NAS

XTEL

Xpedior Incorporated (USA)

OTC

XPDR

Yahoo! Inc (USA)

NAS

YHOO

Zomax, Inc. (USA)

NAS

ZOMX

Based on this list, the ratios discussed in Stage 3 are calculated for every firm, and then averaged to create global benchmarks. No weighting is used in this average.

Stage 6. Projection of Deviations. The goal of this report is not to present the raw ratios or averages, but to present the difference between the company’s estimated ratio and the projected global average for that same ratio. Furthermore, it can be insightful to know the location of each ratio within the distribution of the companies used in Stage 5. These deviations, in fact, can be seen as projections or likely scenarios for the future. This is often true for two reasons. First, while a company’s financials change from year to year, its ratios are often stable. This is especially true for the global benchmarks which represent averages across many companies. From a purely Bayesian sense, the difference between the company’s recent ratios and the benchmarks are a reasonable prior for future deviations. This is true, even if the entire industry is hit by an external or exogenous shock, such as an oil crisis or economic slowdown. In other words, I assume that the structure of the variance in the industry’s financials remains stable. Second, many of the data are based on preliminary reports that might be changed in future filings. As forecasts, therefore, the numbers derived from these are also forecasts of past and future performance (with associated uncertainties). The calculation of the difference between a company's ratios and the global benchmarks is meant to yield roughly approximate forecasts, or "useful measures". Again, the forecasts are based on the assumption of relative stability. This assumption has proven extremely robust in previous applications of this methodology (i.e. today’s weather is a good predictor of tomorrow’s weather, but not the weather three years from now).