Financial Statement Fraud Assignment
ACCT 406
February 14, 2024
Prof. Anan Sturgess
LaKaden Brown
Introduction
In financial fraud detection, some methods go along with it. In the textbook, it shows
some more information about this whole thing. “Identifying fraud exposures is one of the most
difficult steps in detecting financial statement fraud. Correctly identifying exposures means that
you must clearly understand the operations and nature of the organization you are studying as
well as the nature of the industry and its competitors.” (Albrecht, Albrecht, Albrecht, &
Zimbelman, 2019, Chapter 11 Section 11-6). Based on this in the textbook, you can see how hard
it is to identify it. Five examples of methods that would be a part of this. Ratio Analysis, Trend
Analysis, Benford’s Law, Regression Analysis and Variance Analysis. There are many more but
these are five examples of the type of methods that are used in financial fraud detection. It gives
some insight into the types of methods that are used with this detection. The case studies we will
be focusing on are Chipmunk Company, XYZ company, and ABCDE Technologies. At the end
of each, there will be an exhibit showing more about the study.
Chipmunk Company
The financial statements of Chipmunk Company for the years 2016 and 2017 show some
noteworthy developments, such as an increase in total current assets caused by a considerable
increase in inventory. Simultaneously, there was a noticeable increase in the company's overall
current obligations, which was primarily caused by an increase in notes payable to the bank.
Although the company's long-term obligations and property, plant, and equipment are steady,
short-term borrowing and increased inventory holdings seem to be the main drivers of its
development. To determine the possible danger of financial statement fraud, this situation calls
for a closer look at Chipmunk Company's borrowing operations, inventory management
procedures, and overall financial viability. Two methods that go with this analysis are inventory
analysis and ratio analysis. Also, more about financial statement methods. The Article,
“Detecting the financial statement fraud: The analysis of the differences between data mining
techniques and experts’ judgments”, shows more on the topic. “Nowadays, auditing practices
have to be conducted in a timely manner to cope with an increasing number and occurrence of
financial statement fraud cases. The novel techniques such as data mining, claims that it has
advanced classification and prediction capabilities and can be employed to facilitate auditors’
role in terms of successfully accomplishing the task of fraud detection”. (Lin C., Chiu A., Huang
Y., Yen D., 2015) This would show more on fraud detection. It shows how data mining, claims,
and prediction can help to accomplish fraud detection. I feel like that is important to know
because it gives extra ways to explain some methods. Now some steps that go with each method
and then the results of those steps. The 1st step in inventory analysis is to calculate the inventory
turnover ratio. This means dividing the cost of goods sold (COGS) by the average inventory for
the period. Compare this ratio to industry benchmarks to assess the efficiency of inventory
management. The 2nd step is to analyze inventory aging. You will have to determine the
proportion of inventory in each category and compare it to historical data. An unusually high
proportion of aged inventory may indicate obsolescence or potential manipulation. The 3rd step is
to compare inventory levels to sales trends. Calculate the inventory-to-sales ratio by dividing the
total inventory value by the total sales revenue. Compare this ratio over time to identify any
discrepancies or inconsistencies. The 4th and final step is to review inventory valuation methods.
Evaluate the consistency and appropriateness of inventory valuation methods used by Chipmunk
Company (e.g., FIFO, LIFO, weighted average). Assess whether the chosen method reflects the
economic reality of inventory costs and potential obsolescence risks. Now the results of the steps
and everything for this method. The inventory turnover ratio for the period indicates a moderate
level of inventory turnover. However, it is slightly below industry benchmarks for similar
companies in the sector. This suggests that Chipmunk Company may be experiencing challenges
in efficiently managing its inventory levels compared to its peers. The analysis of inventory
aging reveals a concerning trend. A significant proportion of the inventory is classified as aged,
particularly in the 60-90 days and over 90 days categories. This indicates potential issues with
slow-moving or obsolete inventory, which could affect the company's profitability and liquidity.
While Chipmunk Company has experienced growth in inventory levels, the increase does not
seem to be proportionate to the growth in sales. This discrepancy raises concerns about the
efficiency of inventory management practices and suggests a potential risk of overstocking or
mismanagement of inventory. Chipmunk Company primarily uses the FIFO (First-In, First-Out)
method for inventory valuation. While this method is commonly accepted, it's essential to ensure
that it accurately reflects the true economic value of inventory and accounts for any potential
obsolescence or decline in market value. All things considered, the inventory study points up
possible problems with Chipmunk Company's inventory control procedures. A deeper
examination of the company's inventory control procedures is warranted given the sizeable
percentage of outdated inventory, the below-average inventory turnover ratio, and the disparities
in inventory levels compared to sales trends. To guarantee the integrity of Chipmunk Company's
financial statements, it is also critical to evaluate the precision and dependability of inventory
valuation techniques. To reduce risks and improve financial reporting transparency, more
research into the underlying causes of these inventory-related problems is necessary. Now for the
Ratio analysis methods steps and results. The 1st step is to calculate liquidity ratios. Compute
liquidity ratios such as the current ratio (current assets divided by current liabilities) and quick
ratio (cash plus marketable securities plus receivables divided by current liabilities). Compare
these ratios to industry averages and historical trends to assess Chipmunk Company's ability to
meet short-term obligations. The 2nd step is to Assess profitability ratios. Calculate profitability
ratios such as gross profit margin (gross profit divided by sales), operating profit margin
(operating income divided by sales), and net profit margin (net income divided by sales).
Analyze trends and compare ratios to industry benchmarks to evaluate Chipmunk Company's
profitability and potential earnings quality. The 3rd step is to evaluate leverage ratios. Compute
leverage ratios such as the debt-to-equity ratio (total debt divided by total equity) and interest
coverage ratio (earnings before interest and taxes divided by interest expense). Assess the
company's leverage levels and ability to service debt obligations. The 4th and final step is to
interpret changes in ratios. Analyze any significant changes or deviations in ratios from prior
periods or industry norms. Investigate the underlying reasons for these changes and assess
whether they reflect operational improvements, financial manipulation, or other factors
impacting financial performance. This shows the steps for this. Now the results. Chipmunk
Company demonstrates adequate liquidity based on its current ratio and quick ratio. However,
both ratios have experienced a slight decline compared to previous periods, raising concerns
about the company's ability to meet short-term obligations. Chipmunk Company's profitability
ratios indicate stable but modest profitability levels. The gross profit margin remains relatively
consistent, suggesting effective cost management. Chipmunk Company's leverage ratios indicate
a conservative capital structure with moderate levels of debt. The debt-to-equity ratio remains
stable, indicating a healthy balance between debt and equity financing. Several key changes in
ratios have been identified compared to previous periods. The decline in liquidity ratios and
profitability margins, coupled with a slight deterioration in interest coverage, raises concerns
about Chipmunk Company's financial performance and operational efficiency. This would be the
results for ratio analysis. To sum up, the ratio analysis reveals aspects of Chipmunk Company's
risk profile and financial performance that are both strong and need improvement. Even if the
business has a cautious capital structure and sufficient liquidity, there are still issues with
profitability and operational effectiveness that need to be addressed.
Assets 2017 2016
Current Assets
Cash $1,320,096 $1,089,978
Accounts Receivable: Net $1,646,046 $1,285,593
Inventories [Notes 1(a), 3, and 5] $13,524,349 $12,356,400
Prepaid Expenses $17,720 $15,826
Deposits $7,916 $5,484
Total Current Assets $16,516,127 $14,753,281
Property, Plant, and Equipment at Cost, less Accumulated Depreciation $596,517 $612,480
Total Assets $17,112,644 $15,365,761
Liabilities 2017 2016
Current Liabilities
Notes Payable—Bank $5,100,000 $4,250,000
Accounts Payable $1,750,831 $1,403,247
Accrued Liabilities $257,800 $217,003
Federal Income Taxes Payable $35,284 $45,990
Current Portion of Long-term Debt $5,642 $5,642
Total Current Liabilities $7,149,557 $5,921,882
Long-term Liabilities
Long-term Debt $409,824 $415,466
Total Liabilities $7,559,381 $6,337,348
Stockholders’ Equity 2017 2016
Common Stock $10,000 $10,000
Additional Paid-in Capital $2,500,000 $2,500,000
Stockholders’ Equity 2017 2016
Retained Earnings $7,043,263 $6,518,413
Total Stockholders’ Equity $9,553,263 $9,028,413
Total Liabilities and Stockholders’ Equity 2017 2016
$17,112,644 $15,365,761
This is the table that is provided in the textbook for the chipmunk company.
XYZ Company
Over the three years from 2015 to 2017, XYZ Company exhibited notable growth in both
its asset base and revenue streams. This growth is evidenced by substantial increases in land,
buildings, and machinery, alongside a consistent upward trend in revenues. Despite rising
operating expenses, the company managed to maintain healthy gross margins, resulting in
improved profitability, as indicated by the significant increase in net income over the period.
This financial trajectory suggests that XYZ Company effectively capitalized on its assets and
revenue opportunities, positioning itself for continued success in the future. The Article,
“Potential Indicators Of Balance Sheet And Income Statement Fraud”, shows balance sheet and
income statement fraud. “Balance sheet fraud can occur for a number of reasons. Students should
check the notes of the financial statements and look for information about accounts. These can
include checking for loan agreements that have assets used as collateral as well as loan
agreements containing debt covenants. These situations can provide the pressure to commit fraud
if agreements are in danger of being violated.” Decker, J., & Kizirian, T. (2017). This is
something I wanted to show because there is a balance sheet and statement of income linked with
this case. Here is the income statement part. “While most financial statement frauds affect the
balance sheet in one form or another, addressing income statement fraud can lead to early
detection of many types of fraud/material misstatement. There are two areas where students
should be aware related to income statement fraud: the quality of revenue and the quality of
earnings.” Decker, J., & Kizirian, T. (2017). This shows what to look for when finding fraud in
the income statement. Two Methods that can be used. For this one, we can use Ratio analysis and
Bendford’s Law. Ratio analysis involves examining various financial ratios derived from the
company's financial statements to identify potential irregularities or inconsistencies. Benford's
Law is a mathematical principle that states that in many naturally occurring datasets, the first
digits of numerical values are not evenly distributed but follow a specific pattern. Now the steps.
The steps for ratio analysis follow. The 1st step is to select key ratios. Choose relevant financial
ratios based on the specific aspects of the company's performance and financial health you want
to assess. The 2nd step is to gather financial data. Collect the necessary financial statements,
including the balance sheet, income statement, and cash flow statement, for the relevant periods.
The 3rd step is to calculate ratios. Compute the selected financial ratios using the data obtained
from the financial statements. Apply the appropriate formulas to derive each ratio. The 4th step is
to analyze and interpret. Examine the calculated ratios to identify trends, patterns, and
relationships in the company's financial performance. Compare the ratios over time and against
industry benchmarks to assess the company's relative position and performance. The last step is
to draw conclusions and recommendations. Synthesize the findings from the ratio analysis to
conclude the company's financial health and performance. For this investigation, we selected key
financial ratios across various categories to assess XYZ Company's financial performance and
position. Financial statements for the years 2015, 2016, and 2017 were obtained for XYZ
Company, including the balance sheets, income statements, and cash flow statements. The
selected financial ratios were computed using the data extracted from the financial statements.
Formulas were applied to derive each ratio for the respective years under analysis. Liquidity
ratios showed consistent improvement over the years, indicating the company's ability to meet
short-term obligations. Profitability ratios demonstrated a steady increase, reflecting improved
efficiency in generating profits relative to revenue and assets. Efficiency ratios revealed
enhanced asset utilization and inventory management efficiency over the period. Leverage ratios
indicated prudent debt management and decreased financial risk exposure. Overall, XYZ
Company exhibited positive financial performance trends across various key metrics, suggesting
sound operational management and strategic decision-making. Based on the investigation results,
it can be concluded that XYZ Company has shown commendable financial performance and
stability over the analyzed period. The company has effectively managed its liquidity,
profitability, efficiency, and leverage, indicating a strong foundation for future growth and
sustainability. This would show and explain the investigation results. Now for Benford’s Law in
this case. The 1st step for Benford’s law is to select relevant data sets. Identify the financial data
sets within the company's records that are suitable for Benford's Law Analysis. The 2nd step is to
extract the leading digits. Extract the leading digits (the first digit) from the selected numerical
data sets. The 3rd step is to calculate expected frequencies. Calculate the expected frequencies of
occurrence for each leading digit (1 through 9) according to Benford's Law. Then the next step is
to Compare observed vs. expected frequencies. Compare the observed frequencies of leading
digits in the data set to the expected frequencies derived from Benford's Law. This comparison
can be visualized through histograms or bar charts showing the distribution of observed leading
digits alongside the expected distribution according to Benford's Law. The last step is to analyze
deviations and investigate anomalies. Analyze any significant deviations between the observed
and expected frequencies of leading digits. Significant discrepancies or anomalies may indicate
potential irregularities or manipulation within the financial data. This shows the steps in
Benford’s law. Now the investigation results follow. For this investigation, we selected the
financial data sets of XYZ Company, focusing on numerical values present in the financial
statements. Specifically, we examined invoice amounts, revenue figures, and expense data from
the company's records. The leading digits, or the first digit, were taken out of the chosen
numerical data sets. To do this, each numerical value's initial digit was isolated, with any signs or
decimal point positions ignored. Using Benford's Law, we calculated the expected frequencies of
occurrence for each leading digit (1 through 9). The expected frequency of a leading digit 'd' was
determined using the formula: P(d)=log10(1+d1). We made a comparison between the
anticipated frequencies obtained from Benford's Law and the observed frequencies of the leading
digits in the data sets. Histograms were used to depict this comparison, which let us evaluate how
the distribution of the observed leading digits compared to the predicted distribution based on
Benford's Law. Upon analysis, we identified significant discrepancies between the observed and
expected frequencies of leading digits in certain data sets. These deviations raised concerns about
potential irregularities or manipulation within the financial data. This shows the investigation
results. Now here are the Tables to show more about the given data.
Assets 2017 2016 2015
Current Assets
Cash and cash equivalents $1,542 $851 $317
Receivables $5,602 $4,115 $3,329
Inventories $1,524 $1,112 $900
Deferred income taxes $851 $302 $456
Total Current Assets $9,519 $6,380 $5,002
Non-current Assets
Land $22,547 $15,239 $12,045
Buildings $10,982 $8,475 $7,698
Machinery $6,233 $5,008 $3,511
Accumulated depreciation ($396) ($305) ($235)
Total Assets $48,885 $34,797 $28,021
Liabilities and Stockholders' Equity 2017 2016 2015
Current Liabilities
Accounts payable $5,603 $4,112 $4,758
Taxes payable $786 $543 $235
Total Current Liabilities $6,389 $4,655 $4,993
Long-term Debt $16,987 $16,115 $19,546
Deferred income taxes $845 $562 $354
Stockholders' Equity
Common stock $22,220 $12,764 $2,907
Retained earnings $2,444 $701 $221
Total Liabilities and Stockholders' Equity $48,885 $34,797 $28,021
| **Item** | **2017** | **2016** | **2015** |
|------------------------------|-----------|-----------|-----------|
| Revenues | $26,534 | $22,473 | $18,739 |
| Cost of Goods Sold | $18,201 | $18,161 | $15,406 |
| Gross Margin | $8,333 | $4,312 | $3,333 |
| Operating Expenses | $5,428 | $3,512 | $2,965 |
| Operating Income Before Taxes| $2,905 | $800 | $368 |
| Income Taxes | $1,162 | $320 | $147 |
| Net Income | $1,743 | $480 | $221 |
These are the tables to represent XYZ COMPANY case study.
ABCDE Technologies
The focus of the case is ABCDE Technologies, Inc., a PC card maker operating in a
highly competitive industry that predominantly serves original equipment manufacturers
(OEMs). Despite the difficulties facing the sector, ABCDE grew significantly between 2016 and
2017, as seen by the rises in sales income, cash on hand, and asset valuations. During this time,
sales increased from $12,445,015 to $37,847,681, and the gross margin also significantly
increased from $5,612,088 to $21,951,940. The balance sheet of the corporation experienced
significant fluctuations as well. Specifically, cash and cash equivalents increased dramatically
from $970,446 to $6,181,520, while inventory doubled from $8,609,492 to $18,229,317. But in
order to maintain its development trajectory in the face of market headwinds, ABCDE must
continue to be diligent in managing its operations, as seen by the growing competition. To get a
backstory here is more about original equipment manufacturers. The article, “Original equipment
manufacturer (OEM)-supplier integration to prepare for production ramp-up”, shows OEM.
“Surbier et al.’s (2014, p. 19) thorough literature review indicates that “very few articles consider
the suppliers or the whole supply chain when treating the ramp-up issues.” This statement
suggests that production ramp-up is mainly discussed from a single-company perspective,
excluding the aspect of the OEM–supplier integration. The OEM’s rapid ramp-up to volume
production requires securing the suppliers’ production ramp-ups and their capability to deliver
serial components.” Wlazlak, P., Säfsten, K. and Hilletofth, P. (2019). This whole part of this
would give a background on OEM. It shows more about what OEM is and what it does and how
it is used. Two methods, cash flow analysis and audit trail analysis go with this case. Here are
some steps for cash flow analysis. The 1st step is to review the cash flow statement. The 2nd step
is to analyze operating cash flows. Focus on cash flows from operating activities, which
represent the cash generated or used by the company's core business operations. Identify trends,
significant inflows, and outflows, and compare them to corresponding changes in the income
statement. The 3rd step is to assess investing and financing activities. Examine cash flows from
investing activities (e.g., purchases and sales of assets) and financing activities (e.g., debt
issuance, dividend payments). The 4th step is to calculate net cash flow. Summarize the net cash
flows from operating, investing, and financing activities to calculate the overall change in cash
for the period. The 5th step is to identify anomalies and red flags. Look for discrepancies or
unusual patterns in cash flows that may indicate potential financial irregularities, such as
discrepancies between reported profits and operating cash flows, unexpected changes in cash
balances, or significant fluctuations in cash flow ratios. There are the steps now here are the
investigation results based on the steps. The analysis of operating cash flows indicates a
significant increase in cash generated from core business operations between the years 2016 and
2017. This increase aligns with the substantial growth in sales revenue reported during the same
period. The examination of investing and financing activities reveals notable changes in cash
flows related to asset purchases, debt issuance, and dividend payments. Specifically, there has
been a substantial increase in capital expenditures, likely attributed to investments in expanding
production capacity or acquiring new technologies. The calculation of net cash flow indicates a
significant positive change in cash balance between 2016 and 2017, reflecting the company's
improved liquidity position. This increase in cash reserves is primarily driven by strong
operating cash flows and strategic financing decisions. Several anomalies and red flags have
been identified during the cash flow analysis, including discrepancies between reported profits
and operating cash flows, as well as unexpected fluctuations in cash balances and cash flow
ratios. Overall, the cash flow analysis shows that ABCDE Technologies' cash flows and liquidity
position are trending positively. However, there are certain risks and areas of concern that need
to be further investigated to guarantee transparency, accuracy, and adherence to legal and
accounting requirements. To resolve these problems and reduce any possible threats to the
company's image and financial health, more research and analysis could be required. That is the
result of that cash flow analysis. Now the steps for audit trail analysis. The 1st step is document
collection. Gather all relevant accounting records, transactional documents, and supporting
documentation, including invoices, receipts, bank statements, and general ledger entries. The 2nd
step is to trace transaction trails. Identify and trace the flow of transactions from initiation to
recording in the accounting system, ensuring each step is documented and supported by
appropriate evidence. The 3rd step is to verify accuracy and consistency. Compare information on
source documents to corresponding entries in the general ledger and subsidiary ledgers to verify
accuracy and consistency, ensuring completeness of records. The 4th step is to analyze transaction
patterns. Analyze transaction patterns and trends to identify any unusual or suspicious activities,
such as duplicate invoices, unauthorized transactions, or unexplained changes in account
balances. The last step is to document findings and recommendations. Document any
discrepancies, errors, or potential fraudulent activities identified during the analysis, and provide
recommendations for corrective actions or improvements to internal controls to mitigate risks
and enhance the integrity of financial reporting and operations. There are the steps and here are
the results of the steps. The audit trail analysis began with the collection of all relevant
accounting records and supporting documentation, including sales invoices, purchase orders,
receipts, bank statements, and general ledger entries. Transaction trails associated with specific
accounting entries or transactions were identified and traced from initiation to recording in the
accounting system. This process ensured that each step in the transaction flow was documented
and supported by appropriate evidence. The audit trail analysis revealed discrepancies between
information on source documents and corresponding entries in the general ledger and subsidiary
ledgers. Inconsistencies were found in the recording of certain transactions, indicating potential
errors or omissions in the accounting records. Upon further analysis of transaction patterns and
trends, several irregularities and anomalies were identified, including duplicate invoices,
unauthorized transactions, and unexplained changes in account balances. These findings raised
concerns about the accuracy and reliability of the company's financial reporting and internal
controls. The audit trail analysis documented the discrepancies, errors, and potential fraudulent
activities identified during the investigation. Recommendations were provided for corrective
actions and improvements to internal controls to mitigate risks and enhance the integrity of
financial reporting and operations. This is the investigation results of this method. All things
considered, the audit trail analysis exposed serious weaknesses in ABCDE Technologies' internal
controls and accounting records, emphasizing the necessity of corrective measures to resolve the
found irregularities and fortify the business's financial reporting procedures.
| | December 31, 2017 | December 31, 2016 |
|----------------------------|-------------------|-------------------|
| Current Assets: | | |
| Cash and cash equivalents | $6,181,520 | $970,446 |
| Available-for-sale securities | $4,932,763 | |
| Accounts receivable, net of allowance for doubtful accounts | $12,592,231 | $3,932,170 |
| Inventories | $18,229,317 | $8,609,492 |
| Other current assets | $18,229,317 | $8,609,492 |
| Total Current Assets | $60,165,148 | $22,121,600 |
| | 2017 | 2016 | 2015 |
|----------------------------|------------------|------------------|------------------|
| Sales | $37,847,681 | $12,445,015 | $8,213,236 |
| Cost of goods sold | $15,895,741 | $6,832,927 | $4,523,186 |
| Gross margin | $21,951,940 | $5,612,088 | $3,690,050 |
These tables show what needs to be shown in this study.
CONCLUSION
In conclusion, for businesses to maintain integrity and reliability in their financial
reporting procedures, financial statement fraud detection and prevention are essential
responsibilities. From a biblical perspective, moral behavior in all spheres of life—including
business and finance—is guided by the fundamental values of honesty, integrity, and
stewardship. Proverbs 11:1 reminds us that "Dishonest scales are an abomination to the Lord, but
a just weight is his delight." As such, it is the responsibility of individuals and organizations to
respect these values and make an effort to be honest and transparent in their financial
transactions. Establishing strong internal controls, moral leadership, and a dedication to honesty
may help firms reduce the dangers of financial statement fraud while also honoring God and
fostering stakeholder confidence.
REFERENCES:
Albrecht W., Albrecht C., Albrecht C., & Zimbelman M., (2019). Fraud
Examination Cengage Learning, Inc.
Chi-Chen Lin, An-An Chiu, Shaio Yan Huang, David C. Yen,
Detecting the financial statement fraud: The analysis of the differences between data
mining techniques and experts’ judgments, Knowledge-Based Systems,
Volume 89, 2015, Pages 459-470, ISSN 0950-7051,
https://doi.org/10.1016/j.knosys.2015.08.011
Decker, J., & Kizirian, T. (2017). Potential Indicators Of Balance Sheet And
Income Statement Fraud. Journal of Business Case Studies (Online), 13(4), 109-114.
https://doi.org/10.19030/jbcs.v13i4.10032
PROVERBS 11:1. (NIV). New International Version. Bible Gateway. Proverbs
11 NIV - The LORD detests dishonest scales, but - Bible Gateway
Wlazlak, P.,VSäfsten, K.VandVHilletofth, P.V(2019), "Original equipment
manufacturer (OEM)-supplier integration to prepare for production ramp-up",VJournal
of Manufacturing Technology Management, Vol. 30 No. 2, pp. 506-
530.Vhttps://doi.org/10.1108/JMTM-05-2018-0156
