Explore how to refine financial ratios by adjusting for reporting quality issues, ensuring a clearer view of a firm’s true economic performance.
Sometimes, you look at a company’s annual report and think, “Wow, these numbers look fantastic.” But then—excuse the hesitation—you realize the net income might be propped up by a one-time asset sale. Or maybe revenue soared due to a new acceleration policy that might not last. As a Level II CFA candidate, you’re well aware that financial statements can hide an array of ephemeral, non-recurring, or manipulated items that distort the ratios we rely on to gauge performance. That’s why adjusting for quality issues in ratio computations isn’t optional; it’s crucial.
Reporting quality refers to how faithfully a company’s financials depict its actual economic position—no fluff, no concealed bombs. To get there, we must sniff out non-recurring items, aggressive accounting choices, or big “other comprehensive income” swings that don’t reflect a firm’s core operations. Sometimes, managers might not be maliciously manipulating statements; they could simply be making best-effort estimates in uncertain environments. Regardless, our job as analysts is to separate sustainable signals from all that noise.
Most reporting hiccups pop up in a few hotspots: revenue recognition, expense capitalization choices, inventory valuation, and one-time items. Let’s say you have a friend who invests mostly in retail stocks—he’s always telling you how revenue can be inflated through extended shipping terms shipped right at quarter-end, or how cost of goods sold might be understated if a company uses an advantageous LIFO-FIFO shift. The key is to look for red flags and see how they might show up in conventional ratios (e.g., net profit margin, ROE).
Revenue recognition might involve channel stuffing or bill-and-hold transactions (see also Chapter 19: Earnings Quality and Revenue Recognition). Expense capitalization can push real running costs to the balance sheet rather than the income statement. Inventory methods (FIFO, LIFO, Weighted Average) can alter reported cost of goods sold. Even small changes to these items can dramatically shift the numerator or denominator in key ratios.
If you’ve ever tried to analyze a company’s “true” earnings potential, you know—sometimes you’ve got to whip out your detective magnifying glass. The process typically involves removing non-recurring or transitory items, like restructuring charges or asset write-downs, to see what remains of a firm’s stable profitability. Essentially, you’re asking, “What would this company’s earnings look like if management had never recorded that big windfall gain or faced that major lawsuit?”
This method is about normalizing earnings to better reflect future expectations. For instance, if the company sold off a division, took big charges on old equipment, or recognized a big litigation settlement, the after-effects can cause large swings that won’t necessarily repeat. When you’re computing ratios such as the profit margin or return on assets (ROA), you might exclude these noise elements to see a steadier trend of operational performance.
Remember that expression: “Cash is king”? Well, it’s especially relevant here. Accrual-based earnings can be tricked up with estimates and discretionary accruals, but free cash flow (FCF) or cash flow from operations (CFO) offers a different perspective. If net income is consistently marching upward but operating cash flow is flat as a pancake, that may signal something’s off. Maybe the revenue is being booked without adequate allowances for returns, or maybe the giant jump in accounts receivable is a sign that not all that “revenue” will be collected.
Cross-checking the firm’s accrual-based metrics with its actual cash-based numbers can uncover dramatic discrepancies. A quick ratio check might combine accrual items, but if you also weigh CFO relative to total liabilities or consider how FCF yields compare to net income yields, you might see a more complete picture of the firm.
Here’s a personal anecdote: I once looked at two companies in the same industry—both manufacturing specialized machinery. One recognized revenue at the point of shipment, while the other waited until the buyer accepted the machinery on-site (which could be weeks or months later). Turns out that the first company’s reported revenue was consistently “higher” (and earlier). But when I dug into their footnotes, the difference stemmed from a more aggressive policy. Naturally, the ratio computations based on that revenue stream looked better for them—until it didn’t.
So, we always want to see if a company’s accounting policies align with industry norms. If we detect big differences in estimating intangible asset lives, provisioning for doubtful accounts, or capitalizing development costs, it’s usually wise to make adjustments for apples-to-apples comparisons. The same goes for intangible amortization: if you back out intangible amortization for one firm’s normalized earnings, do it for the competitor as well (assuming they have similar intangible balances).
OCI items might look innocuous, but they can seriously affect equity. Changes in foreign currency translation, pension actuarial gains/losses, or the fair value of certain securities can cause big swings that never show up in net income. If OCI is consistently negative, the company’s ratio of debt-to-equity might be creeping up faster than you’d think. If pension liabilities balloon due to changes in discount rates (tracked in OCI), that can alter your measure of the firm’s true financial leverage.
Let’s talk LIFO vs. FIFO. If you’re analyzing a company under IFRS, you might see different allowed methods vs. a US GAAP-based firm (since IFRS prohibits LIFO). One reason we have to pay attention to inventory cost-flow assumptions is that it significantly impacts gross margin and inventory valuation. For instance, in inflationary environments, LIFO can produce a higher COGS and lower remaining inventory. Depending on your desired apples-to-apples viewpoint, you might restate a LIFO-based company’s inventory to FIFO equivalents to see how that changes the firm’s gross margin and inventory turnover.
Below is a quick Python snippet that demonstrates a simplified calculation of inventory and cost of goods sold under FIFO vs. LIFO. It’s obviously not a full-blown solution, but it can give you a sense of how a small code routine can help in your adjustments:
1def lifo_to_fifo_adjustment(lifo_inv, lifo_reserve, cogs):
2 # Convert LIFO inventory to FIFO
3 fifo_inventory = lifo_inv + lifo_reserve
4 # Adjust COGS down by the change in LIFO reserve
5 # if the reserve has increased over the period
6 adjusted_cogs = cogs - lifo_reserve
7 return fifo_inventory, adjusted_cogs
8
9lifo_inventory = 100000
10lifo_reserve = 20000
11cogs = 500000
12
13fifo_inv, adjusted_cogs = lifo_to_fifo_adjustment(lifo_inventory, lifo_reserve, cogs)
14print("FIFO Inventory Estimate: ", fifo_inv)
15print("Adjusted COGS under FIFO: ", adjusted_cogs)
In reality, you’d likely do more to refine changes in the LIFO reserve over multiple periods, but the core idea is: you want a consistent approach across your analyzed firms for comparative ratio work.
Sometimes managers, well-intentioned or not, tweak accruals to smooth profitability. That might involve adjusting allowances for doubtful accounts, tweaking revenue recognition cutoffs, or rolling forward expense items—shockingly—right into the next period. Identifying suspicious patterns might require scanning footnotes or the MD&A for clues. Maybe the CFO says, “We recognized a surge in revenue because we extended credit terms to some new, less-established clients.” Red flag? Possibly.
Look at abnormal changes in certain accounts relative to revenue or cost structures. For instance, if accounts receivable is growing faster than revenue, that’s an immediate potential for questionable accruals. If accrued liabilities (like warranties or return reserves) drop out of sync with past patterns, that might be aggressive optimism about future returns or repairs.
If you recall Chapter 6: Special Purpose and Variable Interest Entities, some companies historically used separate entities (SPEs or VIEs) to keep certain obligations from messing with their main financials. The result? Lower reported liabilities, artificially boosting leverage ratios and net profit margin. The same logic applies to operating leases that haven’t been capitalized (less of an issue under the newest standards, but still relevant in older statements or partial transitions). If you discover major off-balance-sheet items, try to fold them back into total liabilities or operating assets. This helps you compute more honest coverage ratios, debt-to-equity, or return measures.
To find core operating results, we typically exclude big litigation settlements, discontinued operations, large intangible write-downs, or outsize tax windfalls. For instance, if net income soared in 2024 because the firm sold a piece of land for a massive gain, you’d either remove that gain from your operating income or place it below the line in your ratio computations. This helps keep your comparison fair across time or against other companies that didn’t have a similar boon or bust that year.
EBITDA is a popular metric for measuring a company’s recurring performance. But, ironically, “Adjusted EBITDA” can become a black box if the company lumps each complex item under the “non-recurring” label without strong justification. An analyst can’t just accept that at face value. We want full clarity: which items are truly non-recurring, and which ones might be part of normal fluctuations?
IFRS vs. US GAAP can lead to different net incomes, equity balances, or even subtle differences in revenue recognition timing. We’re not here to judge which standard is “best,” but we do want to ensure comparability. If you’re analyzing a multinational group with subsidiaries across IFRS and US GAAP jurisdictions, you might find yourself re-categorizing certain items to keep the ratios consistent. Typically, that means diving into reconciliations or footnotes if the company (or its auditors) provide them.
Don’t forget to look beyond a single period. If you see small upward “adjustments” (like slightly lower depreciation or slightly more favorable inventory assumptions), you might think, “Ah, that’s tiny. Probably no big deal.” But multiplied over three to five years, that can morph into a huge difference. Monitoring ratio trends—especially around net margin, CFO margin, or asset turnover—helps you detect illusions that might only become evident as they accumulate.
An improvement in return on equity (ROE) is excellent if it corresponds to real operational efficiencies, expansions in market share, or better product pricing. But maybe you notice that the improvement is anchored in intangible asset reclassifications or under-reserving for potential losses. A neat trick is to cross-reference ratio changes with operational data, like production volumes, capacity utilization, or customer churn rates. If the ratio is saying “All is well,” but the operational data says “We’re losing ground,” it’s time to dig deeper.
There’s a lot to consider—trust me, it can be overwhelming. Personally, I like to keep a short checklist or “cheat sheet” near me when diving into a new set of financial statements. It might include lines like:
Following a consistent “rules of thumb” approach across all your analyses ensures that each ratio is as comparable and meaningful as possible.
Below is a simple Mermaid diagram illustrating a typical workflow for adjusting ratios when concerned about reporting quality.
flowchart TB A["Identify <br/>Basic Ratios"] --> B["Review <br/>Footnotes"] B --> C["Adjust for <br/>Non-Recurring Items"] C --> D["Compare <br/>with Peers"] D --> E["Cross-Check <br/>Cash Flows"] E --> F["Assess Final <br/>Ratio Quality"]
This is, of course, just a high-level view. In practice, you might loop back to earlier steps as you uncover new information in the footnotes or from management commentary.
Adjusting for quality issues in ratio computations is not a matter of cynicism; it’s about realism. We’re not trying to catch management playing dirty every time—though that can happen. Instead, we’re responsibly recognizing that accounting statements often include estimates, judgments, and even honest mistakes. As a keen observer, your role is to refine the numbers so they best represent ongoing, sustainable performance. And that’s where you, as a future CFA charterholder, stand out—knowing the difference between just reading a company’s reported metrics and truly understanding what’s behind them.
References & Further Reading
• CFA Institute (Official Curriculum) – Financial Reporting Quality section for deeper case studies on earnings manipulation.
• International Accounting Standards Board (IASB) website: https://www.ifrs.org
• Financial Accounting Standards Board (FASB) website: https://www.fasb.org
• Schilit, Howard. “Financial Shenanigans.”
• O’glove, Thornton L. “Quality of Earnings.”
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