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Team 105: 
Qin Li, Zhuting Meng, Xue Shao, Yang Yang, Jie Yin
Agenda 
 Accounting Issue & Relevant Regulations 
 Case Studies of Three Software Companies 
 Technical Analyses (CAR, Jones Model, Ratio) 
 Auditing Guideline 
 Prediction 
 Conclusion
Motivation 
 The software industry employs more than 2 million people 
in the US in 2013 
 The contribution of software industry to GDP up to $361 
billion in 2013 
 The economic and technical characters of the software 
industry make revenue recognition become a very complex 
issue
Premature Earning Recognition 
 Premature revenue means revenue is recognized for a 
legitimate sale in a period prior to that called for GAAP 
 Mostly frequently used earnings management trick for 
publicly traded software company
Case 1: Computer Associates International, Inc. 
 Background 
 A Fortune 500 company 
 One of the world’s largest software companies 
 Fraud Scheme: prematurely reported $2.2 billion in 
revenue from software contracts (1999-2000) 
 Recognized revenue from contracts that were not executed 
 Consequences 
 Stock price dropped over 43% 
 8 executives pleaded guilty
Case 2: MicroStrategy, Inc. 
 Background 
 Founded in 1989 
 A provider of software consulting services 
 Fraud Scheme involved multiple-element transactions 
 Prematurely recognized revenue from the service element 
 Consequences 
 On Mar. 20, 2000, announced to restate for FY 1998 and 1999 
 Stock price dropped over 60%
Revenue Recognition for Product Element 
in Multiple-Element Transactions 
Product 
Element 
Service 
Element 
Multiple 
Element 
Transaction 
Recognize revenue from the 
product element only if: 
 Product element is separable 
from service element 
 Revenue from the service 
element is deducted
Case 3: Lucent Technologies, Inc. 
 Background 
 Formed in 1996 as an AT&T spin-off 
 Designs and provides systems, services, and software 
 Fraud Scheme: aggressive accounting practices 
 Booked revenues before they have been earned or become 
realized 
 Eg: A $135 million transaction with Winstar Communications 
included credits toward future purchases of products and services 
 Consequences 
 On Nov. 21, 2000, announced to restate its financials 
 Stock price dropped about 16%
Technical Analyses 
--- CAR 
CAR(-1,1) CAR(-1,0) CAR(0,1) 
Computer Associates 
International Inc. 
-0.282240225 0.026346423 -0.283624073 
MicroStrategy Inc. -0.121581858 -0.075054234 -0.065964426 
Lucent Technologies -0.10422436 -0.13871302 -0.123126804
Technical Analyses 
--- Discretionary Accruals (Jones Model) 
Computer Associate Inc. 
Year Normal Accruals Discretionary Accruals 
2 Years before Fraud Year(s) 
1998 -0.09559 -0.05558 
1999 -0.10781 -0.44736 
Fraud Year(s) 
2000 -0.11285 0.193602 
2001 -0.16637 0.43441 
1 Year After 2002 -0.12891 -0.02812
Technical Analyses 
--- Discretionary Accruals (Jones Model) 
Lucent Technologies 
Year Normal Accruals Discretionary Accruals 
2 Years before Fraud Year(s) 
1997 -0.0621 0.434057 
1998 -0.01663 0.108237 
Fraud Year(s) 
1999 0.139746 -0.40812 
2000 0.035513 1.477886 
1 Year After 2001 -0.2203 0.905154
Technical Analyses 
--- Discretionary Accruals (Jones Model) 
MicroStrategy Inc. 
Year Normal Accruals Discretionary Accruals 
2 Years before Fraud Year(s) 
1997 -0.37173 0.412103 
1998 0.290238 0.485201 
Fraud Year(s) 1999 -0.40915 0.323971 
1 Year After 2000 -0.85313 0.854915 
1 
0.8 
0.6 
0.4 
0.2 
0 
Discretionary Accruals --- 
MicroStrategy Inc. 
1997 1998 1999 2000
Technical Analyses 
--- Ratio
Auditing Guidelines 
 Technical Analysis 
 High residuals 
 Abnormal ratios compared with the industry avg 
 Other important steps 
 Check the footnote that contains revenue recognition policy 
 Watch accounts receivable 
 Check other balance sheet accounts to find cover-up acts 
 Consider physical capacity
Prediction--- VERAMARK TECHNOLOGIES INC 
 High residuals  Higher AR/TA ratio growth 
than Industry Average 
Year Residuals 
2009 -0.03642 
2010 2.614737 
2011 -1.39678 
2012 0.047285 
0.19 
0.16 
0.13 
0.1 
AR/TA 
2009 2010 2011 2012 
VERA Industry
Conclusion 
 Software industry 
 Premature revenue recognition 
 The Jones model and ratio analysis 
 Useful for auditors to detect premature revenue recognition 
in software industry
Software Revenue Recognition and Earnings Management Detection

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Software Revenue Recognition and Earnings Management Detection

  • 1. Team 105: Qin Li, Zhuting Meng, Xue Shao, Yang Yang, Jie Yin
  • 2. Agenda  Accounting Issue & Relevant Regulations  Case Studies of Three Software Companies  Technical Analyses (CAR, Jones Model, Ratio)  Auditing Guideline  Prediction  Conclusion
  • 3. Motivation  The software industry employs more than 2 million people in the US in 2013  The contribution of software industry to GDP up to $361 billion in 2013  The economic and technical characters of the software industry make revenue recognition become a very complex issue
  • 4. Premature Earning Recognition  Premature revenue means revenue is recognized for a legitimate sale in a period prior to that called for GAAP  Mostly frequently used earnings management trick for publicly traded software company
  • 5. Case 1: Computer Associates International, Inc.  Background  A Fortune 500 company  One of the world’s largest software companies  Fraud Scheme: prematurely reported $2.2 billion in revenue from software contracts (1999-2000)  Recognized revenue from contracts that were not executed  Consequences  Stock price dropped over 43%  8 executives pleaded guilty
  • 6. Case 2: MicroStrategy, Inc.  Background  Founded in 1989  A provider of software consulting services  Fraud Scheme involved multiple-element transactions  Prematurely recognized revenue from the service element  Consequences  On Mar. 20, 2000, announced to restate for FY 1998 and 1999  Stock price dropped over 60%
  • 7. Revenue Recognition for Product Element in Multiple-Element Transactions Product Element Service Element Multiple Element Transaction Recognize revenue from the product element only if:  Product element is separable from service element  Revenue from the service element is deducted
  • 8. Case 3: Lucent Technologies, Inc.  Background  Formed in 1996 as an AT&T spin-off  Designs and provides systems, services, and software  Fraud Scheme: aggressive accounting practices  Booked revenues before they have been earned or become realized  Eg: A $135 million transaction with Winstar Communications included credits toward future purchases of products and services  Consequences  On Nov. 21, 2000, announced to restate its financials  Stock price dropped about 16%
  • 9. Technical Analyses --- CAR CAR(-1,1) CAR(-1,0) CAR(0,1) Computer Associates International Inc. -0.282240225 0.026346423 -0.283624073 MicroStrategy Inc. -0.121581858 -0.075054234 -0.065964426 Lucent Technologies -0.10422436 -0.13871302 -0.123126804
  • 10. Technical Analyses --- Discretionary Accruals (Jones Model) Computer Associate Inc. Year Normal Accruals Discretionary Accruals 2 Years before Fraud Year(s) 1998 -0.09559 -0.05558 1999 -0.10781 -0.44736 Fraud Year(s) 2000 -0.11285 0.193602 2001 -0.16637 0.43441 1 Year After 2002 -0.12891 -0.02812
  • 11. Technical Analyses --- Discretionary Accruals (Jones Model) Lucent Technologies Year Normal Accruals Discretionary Accruals 2 Years before Fraud Year(s) 1997 -0.0621 0.434057 1998 -0.01663 0.108237 Fraud Year(s) 1999 0.139746 -0.40812 2000 0.035513 1.477886 1 Year After 2001 -0.2203 0.905154
  • 12. Technical Analyses --- Discretionary Accruals (Jones Model) MicroStrategy Inc. Year Normal Accruals Discretionary Accruals 2 Years before Fraud Year(s) 1997 -0.37173 0.412103 1998 0.290238 0.485201 Fraud Year(s) 1999 -0.40915 0.323971 1 Year After 2000 -0.85313 0.854915 1 0.8 0.6 0.4 0.2 0 Discretionary Accruals --- MicroStrategy Inc. 1997 1998 1999 2000
  • 14. Auditing Guidelines  Technical Analysis  High residuals  Abnormal ratios compared with the industry avg  Other important steps  Check the footnote that contains revenue recognition policy  Watch accounts receivable  Check other balance sheet accounts to find cover-up acts  Consider physical capacity
  • 15. Prediction--- VERAMARK TECHNOLOGIES INC  High residuals  Higher AR/TA ratio growth than Industry Average Year Residuals 2009 -0.03642 2010 2.614737 2011 -1.39678 2012 0.047285 0.19 0.16 0.13 0.1 AR/TA 2009 2010 2011 2012 VERA Industry
  • 16. Conclusion  Software industry  Premature revenue recognition  The Jones model and ratio analysis  Useful for auditors to detect premature revenue recognition in software industry

Editor's Notes

  1. .