Chapter 3
Data Quality, Accounting Adjustments and Financial Statement Reconstruction
Bachelors Program in Banking Finance and Insurance
Financial Analysis & Modelling
•
Bachelor
Data Quality, Accounting Adjustments and Financial Statement Reconstruction
Introduction
Financial analysis is only as reliable as the information on which it is based. Published statements may comply with accounting standards yet remain difficult to compare because entities use different policies, estimates, classifications and reporting periods. Data may also be incomplete, internally inconsistent or affected by estimation bias, earnings management and unusual transactions.
Analysts therefore perform three connected tasks before constructing forecasts or valuations:
assess the reliability, comparability and materiality of the available data;
identify and quantify accounting distortions; and
reconstruct statements on a consistent analytical basis.
Reconstruction is not an attempt to produce a supposedly perfect version of the accounts. It is a disciplined process of converting reported information into decision-useful data while preserving an audit trail of assumptions and adjustments.
Learning Objectives
After studying this chapter, students should be able to:
evaluate the reliability and comparability of financial data;
apply quantitative and qualitative materiality judgments;
distinguish accounting choices, estimation uncertainty, earnings management and fraud;
identify exceptional items and accounting-policy effects;
calculate normalized earnings using correctly signed adjustments;
recast income statements, balance sheets and cash flow statements;
address missing, inconsistent and potentially biased information;
document adjustments using transparent and reproducible procedures; and
recognize governance, regulatory and ethical implications.
1. The Analytical Meaning of Data Quality
High-quality financial data faithfully represents the underlying economic activity and is sufficiently complete, neutral, comparable and timely for its intended purpose. Data quality is purpose-dependent. Information adequate for credit monitoring may be insufficient for equity valuation or regulatory stress testing.
1.1 Principal dimensions
Dimension
Analytical question
Warning signs
Completeness
Are all relevant periods, notes and transactions available?
Missing notes, omitted subsidiaries or absent cash flows
Accuracy
Do values agree with authoritative sources and supporting schedules?
Transcription errors or totals that do not reconcile
Internal consistency
Do related statements and disclosures agree?
Cash movements inconsistent with the cash flow statement
Comparability
Are definitions, policies, currencies and periods consistent?
Policy changes or 53-week reporting years
Faithful representation
Do classifications reflect economic substance?
Recurring expenses labelled exceptional
Timeliness
Is the information current enough for the decision?
Reliance on outdated interim data
Traceability
Can each value be linked to a source and transformation?
Hard-coded model values without references
Reliability does not mean certainty. Expected credit losses, insurance liabilities, pension obligations and fair values necessarily involve estimation. Reliable analysis identifies such uncertainty rather than concealing it.
1.2 Source hierarchy
An analyst should generally prefer audited annual statements over unaudited summaries, complete regulatory filings over promotional presentations, and transaction-level records over manually re-entered totals. Audit assurance increases confidence but does not guarantee that statements contain no error, fraud or aggressive judgment.
For banks, insurers and diversified financial groups, important supplementary sources include capital adequacy returns, liquidity disclosures, loan-quality schedules, fair-value hierarchy notes, claims-development tables and regulatory enforcement records.
1.3 A structured quality-control process
Financial data quality and reconstruction process
Figure: Financial data quality and reconstruction process
Figure: A controlled process for converting source data into reconstructed financial statements.
The process is iterative. A reconstructed cash flow statement may reveal an unexplained cash difference requiring the analyst to return to the source records.
2. Reliability, Comparability and Materiality
2.1 Reliability assessment
A practical reliability assessment combines evidence about the source, measurement and controls. Relevant questions include:
Was the information audited, reviewed or unaudited?
Was the auditor’s opinion modified?
Are there material weaknesses in internal control?
How much of the statement depends on unobservable estimates?
Have prior-period numbers been restated repeatedly?
Do management’s alternative performance measures reconcile to the accounts?
A modified audit opinion, going-concern uncertainty or control deficiency does not automatically invalidate every number. It identifies areas requiring greater caution and sensitivity analysis.
2.2 Comparability adjustments
Comparability is impaired when economically similar transactions are measured or presented differently. Common causes include:
different inventory costing policies where permitted;
different useful lives or residual values for non-current assets;
capitalization versus immediate expensing of qualifying costs;
operating lease and financing structures;
business combinations and discontinued operations;
changes in reporting currency or inflationary environment;
different cash flow classifications permitted by the applicable framework; and
changes in expected credit loss or insurance assumptions.
Comparability does not require blind uniformity. If business models differ economically, forcing identical ratios can reduce rather than improve insight.
2.3 Materiality
Information is material if omitting, misstating or obscuring it could reasonably influence decisions made by users of the financial statements. Materiality depends on both magnitude and nature.
A percentage may be used as an initial screening device:
m = |A| ÷ |B| × 100%
where m is the size of an item as a percentage, A is the absolute amount of the item in currency units, and B is a relevant non-zero benchmark such as profit before tax, revenue or total assets. The formula is descriptive, not a universal accounting threshold.
An amount may be qualitatively material even when small—for example, if it changes a profit into a loss, conceals a covenant breach, affects regulatory capital, concerns related-party dealings or influences management remuneration.
Worked Example: Selecting a Benchmark
A company reports revenue of CU40 million, profit before tax of CU0.8 million and total assets of CU25 million. A suspected error is CU0.10 million.
Relative to revenue: 0.10 ÷ 40 × 100% = 0.25%
Relative to profit before tax: 0.10 ÷ 0.8 × 100% = 12.5%
Relative to total assets: 0.10 ÷ 25 × 100% = 0.4%
The error appears small relative to revenue but substantial relative to profit. The appropriate conclusion depends on the decision context and qualitative circumstances.
3. Accounting Policies, Estimates and Errors
These categories have different analytical and reporting consequences.
Category
Meaning
Typical accounting treatment
Accounting policy
Principle or basis used to recognize, measure or present transactions
Voluntary changes generally require justification and retrospective application where practicable
Accounting estimate
Monetary amount subject to measurement uncertainty
Changes are generally recognized prospectively
Prior-period error
Omission or misstatement caused by failure to use reliable available information
Material errors are generally corrected retrospectively
The analyst must distinguish a genuine estimate revision from an attempt to reclassify a previous error. For example, revising future expected credit losses after new macroeconomic evidence is different from discovering that existing delinquency data had been omitted.
3.1 Capitalized expenditure
Capitalizing expenditure delays expense recognition by recording an asset and subsequently amortizing it when the asset is an intangible asset, such as qualifying development expenditure or software. Tangible assets are normally depreciated; finite-life intangible assets are normally amortized.
Suppose CU24 million of software development expenditure is capitalized and CU4 million of amortization is recognized during the year. If an analyst’s comparison policy is to expense all such expenditure immediately, reported EBIT must be reduced by:
Thus, CU24 − CU4 = CU20 million. EBIT and the intangible asset carrying amount are each reduced by CU20 million before considering tax. This is an analytical recast, not necessarily a claim that the original accounting violated a standard.
4. Earnings Management and Diagnostic Evidence
Earnings management occurs when judgment in financial reporting or transaction structuring is used to influence reported outcomes. It ranges from acceptable choices within standards to aggressive reporting and, at the extreme, fraudulent misstatement.
4.1 Common techniques
Revenue timing: recognizing revenue before control transfers, using bill-and-hold transactions without satisfying the required conditions, or recording channel stuffing.
Classification shifting: presenting recurring operating expenses as exceptional or placing operating gains outside operating profit.
Estimate manipulation: changing expected credit losses, insurance assumptions, warranty provisions, fair-value inputs or impairment assumptions without sufficient evidence.
Real activities management: offering excessive discounts to accelerate sales, cutting economically valuable research expenditure or overproducing to reduce unit fixed cost. These actions affect genuine transactions and may therefore be harder to detect.
4.2 Accrual diagnostics
A simple measure of total accruals is:
TA = NI − CFO
where TA is total accruals, NI is net income and CFO is cash flow from operating activities, all measured in the same currency and period. Cash flow classifications must be comparable before using the measure.
If net income is CU90 million and CFO is CU60 million, total accruals equal CU30 million. Large positive accruals warrant investigation but do not prove manipulation. A growing business may legitimately increase receivables and inventory.
Useful supporting indicators include days sales outstanding, inventory days, provision coverage, cash conversion, related-party balances, fourth-quarter sales concentration and the frequency of supposedly non-recurring charges. Models such as the modified Jones model can estimate discretionary accruals across sufficiently large samples, but their results are probabilistic and sensitive to model specification.
5. Exceptional Items and Normalized Earnings
Exceptional, unusual and non-recurring are analytical descriptions rather than interchangeable guarantees. An item can be unusual in nature but recur frequently—for example, annual restructuring charges. Under IFRS, items are not presented as “extraordinary items.” Material income and expenses are instead separately disclosed when doing so explains performance.
5.1 Normalization formula
Let additions be expenses or losses included in reported profit that the analyst removes, and deductions be gains, aggressive revenue or omitted recurring costs that must reduce analytical profit. The correct bridge is:
Pn = Pr + ∑Ai − ∑Rj
where:
Pn = normalized profit for the selected period and profit level;
Pr = reported profit at the same profit level;
Ai = the ith upward adjustment, such as an add-back of a demonstrably non-recurring expense; and
Rj = the jth downward adjustment, such as removal of a non-recurring gain, reversal of premature revenue or restoration of an understated recurring expense.
All quantities must use the same currency, period and pre-tax or after-tax basis. An expense add-back increases normalized profit, while removal of a gain decreases it.
Worked Example: Earnings Bridge
Reported profit before tax is CU120 million. It includes a CU18 million one-off restructuring charge, a CU6 million uninsured disaster loss and a CU10 million gain on disposal. Assume the two losses are genuinely non-recurring and the disposal gain is not part of sustainable earnings.
Pn = 120 + (18 + 6) − 10 = CU134 million
The bridge is therefore: reported profit CU120 million, plus CU24 million of expense add-backs, less CU10 million of gain removal, giving normalized profit of CU134 million.
5.2 Tax effects
Tax should not automatically be calculated by multiplying every adjustment by one standard rate. Deductibility, jurisdiction, deferred tax and loss carry-forwards may differ. For an adjustment that is fully deductible or taxable at rate t, with no valuation allowance complication, the after-tax effect is:
ΔPafter-tax = ΔPpre-tax × (1 − t)
This is a special case, not a universal rule. Analysts should use item-specific tax treatment where available.
5.3 Avoiding over-normalization
Normalization becomes misleading when analysts remove every unfavorable expense while retaining favorable gains. A disciplined test asks:
Is the item outside ordinary operations or unusually large?
Is recurrence genuinely unlikely?
Is the amount supported by disclosure?
Would a comparable company be adjusted similarly?
Does removing it improve prediction of sustainable cash flows?
Repeated restructuring, litigation, cyber incidents or acquisition costs may be economically recurring even if each event is individually distinct.
6. Financial Statement Reconstruction
Reconstruction reorganizes reported information into a coherent and comparable set of statements. It should preserve the accounting equation:
Assets = Liabilities + Equity
Every balance-sheet adjustment must have an equal counterpart. An unexplained balancing figure is evidence of incomplete reconstruction, not a solution.
6.1 Recommended adjustment worksheet
Line item
Reported
Reclassification
Normalization
Reconstructed
Revenue
source value
presentation only
recognition adjustment
final value
Operating costs
source value
presentation only
recurring-cost adjustment
final value
Assets
source value
category movement
recognition/measurement adjustment
final value
Liabilities
source value
category movement
recognition/measurement adjustment
final value
A reclassification changes presentation but not total profit or net assets. A recognition or measurement adjustment can change both.
6.2 Income statement reconstruction
The usual sequence is to:
align reporting periods and currencies;
separate continuing from discontinued operations;
reverse unsupported revenue and associated costs;
standardize accounting-policy effects;
identify recurring and non-recurring items;
recalculate subtotals and tax; and
reconcile reported to reconstructed profit.
When reversing a sale, both revenue and the associated cost of sales must be considered. If CU30 million of premature revenue carries CU12 million of inventory cost, reversal reduces revenue by CU30 million and reduces cost of sales by CU12 million. EBIT therefore falls by CU18 million, not CU30 million.
6.3 Balance-sheet reconstruction
Balance-sheet work may include:
reversing unsupported receivables and restoring related inventory;
separating operating and financing liabilities;
recognizing omitted obligations where justified;
eliminating assets arising from an analyst’s policy adjustment;
reconciling retained earnings to adjusted cumulative profit; and
checking deferred tax consequences.
Analysts must avoid double counting. If an adjustment has already reduced retained earnings through the reconstructed income statement, it must not be charged to equity a second time.
where CFO, CFI and CFF are operating, investing and financing cash flows, and FX is the exchange-rate effect on cash. All terms are in currency units for the same period.
#### Worked Example: Resolving Ambiguous Cash Payments
A source package reports:
customer cash receipts: CU470;
supplier payments: CU270;
total cash operating expenses: CU345;
interest paid classified as operating: CU20; and
income tax paid: CU10.
The wording initially presents supplier payments and cash operating expenses separately. Examination of the ledger schedule confirms that the CU345 total includes the CU270 supplier payment. Therefore, supplier payments must not be deducted again.
CFO = 470 − 345 − 20 − 10 = CU95
If CU345 had excluded supplier payments, CFO would instead have been 470 − 345 − 270 − 20 − 10 = −CU175. The CU95 result is valid only under the explicitly verified inclusion assumption. This illustrates why definitions and aggregation boundaries must be documented.
Interest and dividend classifications may differ across reporting frameworks and policy choices. Analysts should reclassify them consistently before comparing CFO across entities.
7. Illustrative Case: Meridian Digital Services
This fictional case demonstrates a complete normalization process.
Background
Meridian Digital Services reports the following income statement in CU millions:
Item
Reported amount
Revenue
1,000
Cost of sales
(600)
Selling and administration
(220)
Software amortization
(4)
Restructuring charge
(18)
EBIT
158
Interest expense
(20)
Gain on asset disposal
10
Profit before tax
148
Tax expense
(37)
Net income
111
The reported subtotals are arithmetically correct.
Problem
Further investigation finds that:
CU24 million of current software development expenditure was capitalized; CU4 million was amortized.
CU30 million of revenue was recorded before control passed to the customer. Its inventory cost was CU12 million.
The CU18 million restructuring charge relates to a unique closure and is reasonably assessed as non-recurring.
The CU10 million disposal gain is not part of sustainable operating performance.
The analytical policy is to expense current development expenditure immediately for comparability. Assume, solely for this illustration, that all adjustments have a symmetric 25% tax effect and no deferred-tax or loss-utilization complication.
Analysis and solution
The software adjustment is CU20 million: CU24 million immediate expense less CU4 million amortization already recognized. The premature sale reduces profit by CU18 million. The restructuring charge is added back, while the disposal gain is removed.
Bridge to normalized profit before tax
CU million
Reported profit before tax
148
Add back non-recurring restructuring
+18
Remove disposal gain
−10
Expense net capitalized development amount
−20
Reverse margin on premature sale
−18
Normalized profit before tax
118
The result also follows from the normalization equation:
Pn = 148 + 18 − (10 + 20 + 18) = CU118 million
Normalized tax under the stated simplifying assumption is 118 × 25% = CU29.5 million. Normalized net income is therefore 118 − 29.5 = CU88.5 million.
Balance-sheet implications
Before tax effects, the development adjustment removes a CU20 million intangible carrying amount. Reversing the premature sale removes CU30 million of receivables and restores CU12 million of inventory, reducing net assets by CU18 million. The restructuring and disposal adjustments require examination of whether related cash, provisions or assets remain on the balance sheet; normalization of performance does not automatically reverse completed transactions.
Outcome
Meridian’s reported net income of CU111 million overstates the selected sustainable measure by CU22.5 million under the case assumptions. Nevertheless, the reconstructed figure is an analytical estimate, not a replacement for the statutory accounts.
Learning points
Both sides of a premature sale must be reversed.
Capitalized software and development expenditure is subsequently amortized, not depreciated.
A non-recurring expense is added back, while a non-recurring gain is deducted.
Income-statement normalization and balance-sheet reversal are related but not identical.
Assumptions about tax and recurrence must be disclosed.
8. Missing, Inconsistent and Biased Data
8.1 Missing data
Missing values should never be silently replaced with zero. Appropriate responses include:
obtaining another authoritative source;
deriving the value from an accounting identity;
estimating a range from disclosed components;
applying a peer or historical proxy with explicit justification; or
excluding the observation when estimation would be misleading.
If total debt is known but maturity categories are missing, the analyst may model alternative maturity scenarios rather than inventing a precise split.
8.2 Inconsistent data
Common reconciliation checks include:
opening balance plus movements equals closing balance;
net income reconciles to retained earnings after dividends and other movements;
the change in cash agrees with the cash flow statement;
segment totals reconcile to consolidated totals; and
statement values agree with note disclosures.
Differences may arise from foreign exchange, acquisitions, disposals, reclassifications or rounding. They should be investigated before being treated as errors.
8.3 Biased data and scenario analysis
Management forecasts, fair-value models and impairment tests may contain optimism bias. Analysts should compare assumptions with market evidence, prior forecast accuracy and independent economic data. When uncertainty cannot be resolved, use scenarios rather than a false point estimate.
A simple expected value may be calculated as:
E(X) = ∑ps Xs
where Xs is the outcome under scenario s and ps is its probability, with ps ≥ 0 and ∑ps = 1. Expected value summarizes modeled outcomes but does not eliminate model risk or tail risk.
9. Governance, Regulation and Ethics
Under IAS 8, accounting policy changes, estimate changes and prior-period errors receive different treatment. IAS 1 prohibits extraordinary-item presentation, while IFRS 18, effective for annual periods beginning on or after 1 January 2027 subject to jurisdictional adoption, introduces new income-statement categories and disclosure requirements for management-defined performance measures.
Securities regulators also scrutinize non-GAAP or alternative performance measures. Such measures should be clearly labelled, consistently calculated and reconciled to the nearest statutory measure. Management should not give adjusted profit greater prominence in a misleading manner.
Ethically, analysts must not select adjustments merely to support a desired valuation or credit decision. Professional practice requires neutrality, documentation, consistent treatment of favorable and unfavorable items, and clear separation between reported facts and analytical assumptions.
10. Technology and Contemporary Practice
Data extraction tools, robotic process automation and artificial intelligence can compare filings, detect unusual journal patterns and map accounts into standardized models. They can also propagate errors at scale. Optical character recognition may confuse signs, units or reporting periods, while generative systems may create unsupported classifications.
Effective controls include source-linked data lineage, validation rules, version control, human approval of material adjustments and locked formula cells. Automated checks should test accounting identities, duplicate records, inconsistent units and unexplained period movements.
11. Best-Practice Reconstruction Protocol
A defensible reconstruction should:
retain the unaltered source dataset;
identify currency, units, period and reporting framework;
assign a unique reference to every adjustment;
distinguish reclassifications from profit-changing adjustments;
record the evidence, rationale and tax treatment;
recalculate all affected subtotals and ratios;
verify the accounting equation and cash reconciliation;
perform sensitivity analysis for uncertain adjustments;
obtain independent review for material judgments; and
present reported and reconstructed results side by side.
Challenges and Limitations
Normalization requires judgment about recurrence and economic substance. Public disclosures may not provide enough detail to quantify policy differences. Tax consequences may be jurisdiction-specific, and accounting adjustments do not necessarily replicate cash effects. Comparability adjustments may also remove genuine differences in business models.
Accordingly, reconstructed statements should be interpreted as conditional analytical models. Their value lies in transparent reasoning, not artificial precision.
Chapter Summary
Financial analysis begins with assessing data reliability, comparability and materiality. Analysts should authenticate sources, reconcile related statements and distinguish accounting policies, estimates and errors. Earnings management may affect timing, measurement or classification, but diagnostic indicators are signals rather than proof.
Normalized profit equals reported profit plus qualifying expense or loss add-backs minus gains and other downward adjustments. Tax effects must reflect the circumstances of each item. Reconstruction extends normalization by consistently recasting the income statement, balance sheet and cash flow statement while preserving accounting identities. Missing or biased data should be addressed through documented derivation, ranges, scenarios and sensitivity analysis—not silent assumptions. Governance, ethical neutrality, traceability and independent review are essential to defensible analysis.
Key Terms
Accounting estimate: A monetary amount subject to measurement uncertainty.
Accounting policy: A principle or basis used to recognize, measure and present transactions.
Accruals: Differences between accounting earnings and corresponding cash flows.
Amortization: Systematic allocation of the depreciable amount of a finite-life intangible asset over its useful life.
Comparability: The ability to identify similarities and differences across entities or periods.
Data lineage: A traceable record of a value’s source and transformations.
Earnings management: Use of judgment or transaction structuring to influence reported results.
Exceptional item: A material item requiring separate analytical consideration because of its size or nature.
Faithful representation: Information that is complete, neutral and free from material error to the extent possible.
Materiality: The capacity of information to influence reasonable users’ decisions.
Normalization: Adjustment of reported results to estimate a sustainable analytical measure.
Non-recurring item: An item not reasonably expected to arise regularly in ordinary performance.
Prior-period error: A historical omission or misstatement caused by failure to use reliable available information.
Reclassification: Movement of an amount between categories without changing total profit or net assets.
Reconstruction: Recasting statements onto a consistent analytical basis.
Scenario analysis: Evaluation of outcomes under alternative internally consistent assumptions.
Total accruals: Net income minus cash flow from operating activities for a comparable period.
Working paper: A documented record of sources, calculations, assumptions and conclusions.
Review Questions
Short Answer Questions
What is the difference between data accuracy and comparability?
Why is a fixed percentage not a universal materiality threshold?
Distinguish an accounting estimate change from a prior-period error.
Why do high positive accruals not by themselves prove earnings manipulation?
What is the difference between a reclassification and a normalization adjustment?
Long Answer Questions
Explain how an analyst should assess the reliability of audited and unaudited financial information.
Discuss the principal methods of earnings management and the evidence used to investigate them.
Explain the process of reconstructing an income statement, balance sheet and cash flow statement.
Evaluate the benefits and dangers of removing exceptional items from reported profit.
Discuss the governance, ethical and regulatory requirements relevant to alternative performance measures.
Analytical / Application Questions
A company reports profit before tax of CU75 million, including a CU9 million non-recurring loss, a CU4 million disposal gain and CU6 million of premature profit. Calculate normalized profit before tax and explain each sign.
An entity capitalizes CU50 million of development expenditure and records CU8 million of amortization. Recast EBIT under an immediate-expensing analytical policy and discuss the balance-sheet effect before tax.
Design a reconstruction plan for a bank whose loan-loss disclosures conflict with its regulatory return and whose prior-year data have been restated.
Multiple Choice Questions with Answers
Question 1
Which data-quality dimension requires every modeled value to be linked to its source and transformations?
A. Timeliness
B. Traceability
C. Materiality
D. Neutrality
Correct Answer: B. Traceability
Question 2
Reported profit is CU120 million. Qualifying expense add-backs are CU18 million and CU6 million, while a CU10 million disposal gain must be removed. What is normalized profit?
A. CU106 million
B. CU122 million
C. CU134 million
D. CU154 million
Correct Answer: C. CU134 million
Question 3
CU24 million of software development expenditure is capitalized and CU4 million is amortized. Under an analytical policy of immediate expensing, by how much should reported EBIT decrease?
A. CU4 million
B. CU20 million
C. CU24 million
D. CU28 million
Correct Answer: B. CU20 million
Question 4
Customer receipts are CU470, total cash operating expenses are CU345, interest paid is CU20 and tax paid is CU10. The CU345 total includes supplier payments. What is CFO?
A. −CU175
B. CU75
C. CU95
D. CU115
Correct Answer: C. CU95
Question 5
Net income is CU90 million and comparable CFO is CU60 million. Using TA = NI − CFO, what are total accruals?
A. −CU30 million
B. CU30 million
C. CU60 million
D. CU150 million
Correct Answer: B. CU30 million
Question 6
Which item is most likely qualitatively material even if its amount is small?
A. A rounding difference that has no effect on any subtotal
B. A routine payment made one day earlier than expected
C. A related-party transaction omitted from the disclosures
D. A correctly recorded transaction with an immaterial foreign-exchange difference
Correct Answer: C. A related-party transaction omitted from the disclosures
Question 7
Which statement about exceptional items is correct?
A. Every item labelled exceptional should be added back to profit.
B. An unusual item may still be economically recurring.
C. IFRS requires extraordinary items below net income.
D. Exceptional gains should be retained while exceptional losses are removed.
Correct Answer: B. An unusual item may still be economically recurring.
Question 8
Premature revenue of CU30 million was recognized with associated cost of sales of CU12 million. What is the effect of reversing the sale on EBIT?
A. EBIT decreases by CU12 million.
B. EBIT decreases by CU18 million.
C. EBIT decreases by CU30 million.
D. EBIT increases by CU18 million.
Correct Answer: B. EBIT decreases by CU18 million.
Question 9
Why should an unexplained balance-sheet plug not be used in reconstruction?
A. It necessarily increases cash flow.
B. It changes every accounting policy.
C. It conceals incomplete or inconsistent adjustments.
D. It always violates the revenue recognition standard.
Correct Answer: C. It conceals incomplete or inconsistent adjustments.
Question 10
Which practice best supports a defensible financial-statement reconstruction?
A. Replacing all missing values with zero
B. Removing unfavorable unusual items but retaining favorable gains
C. Keeping only the final adjusted statement
D. Maintaining source references, assumptions and an adjustment audit trail
Correct Answer: D. Maintaining source references, assumptions and an adjustment audit trail