This document presents an analysis of accounting issues and revenue recognition practices in the software industry. It summarizes three case studies of software companies (Computer Associates, MicroStrategy, and Lucent Technologies) that engaged in premature revenue recognition. It then outlines technical analyses using the CAR model, Jones model, and ratios to detect discretionary accruals and abnormal revenue recognition. Guidelines for auditing software companies focus on these technical analyses and examining revenue recognition policies, accounts receivable, and other financial statement accounts. Veramark Technologies is predicted to need further auditing based on its residuals and higher than average accounts receivable to total assets growth rate.
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