Try 10 focused Series 86 questions on Data Verification and Analysis, with explanations, then continue with the full Securities Prep practice test.
Series 86 Data Verification and Analysis questions help you isolate one part of the FINRA outline before returning to a mixed practice test. The questions below are original Securities Prep practice items aligned to this topic and are not copied from any exam sponsor.
| Item | Detail |
|---|---|
| Exam | FINRA Series 86 |
| Official topic | Function 2 — Data Verification and Analysis |
| Blueprint weighting | 33% |
| Questions on this page | 10 |
You are updating a software company model after its 10-Q. Management emphasizes “adjusted operating income” that excludes stock-based compensation (SBC). Your current model uses the company’s adjusted operating margin and applies a forward P/E to forecast EPS.
Exhibit (USD, quarter):
What is the best next step to ensure your profitability metrics and per-share economics are not overstated?
Best answer: C
Explanation: SBC is an economic cost that depresses GAAP profitability and typically increases diluted shares, so both the income statement and share count need to be modeled consistently.
SBC reduces reported profitability because it is recorded as compensation expense, and it can also dilute shareholders through incremental shares. If you rely on an adjusted margin that excludes SBC and do not refresh diluted shares, you can overstate operating metrics and EPS at the same time. The appropriate next step is to model SBC consistently in the income statement and reflect its dilution in per-share forecasts.
SBC is typically non-cash in the period granted, but under GAAP it is still a compensation expense that lowers operating income and net income, affecting margins and EPS. In addition, SBC often results in future share issuance (or fewer shares repurchased), increasing diluted shares and reducing per-share economics.
A sound workflow is:
Treating SBC as “irrelevant” because it is non-cash can overstate both profitability and per-share value.
You cover a mid-cap U.S. apparel retailer in a slowing consumer demand environment where markdown risk is rising. Management’s earnings release and investor deck state inventory is “down 8% YoY,” but the most recent filed 10-Q balance sheet shows inventory up 6% YoY; the deck footnote says its metric is “excluding goods in transit and net of reserves.” You need a defensible ending-inventory input for next quarter’s working-capital forecast in a DCF, and you cannot assume the deck’s definition matches GAAP. What is the best research action to validate the inventory data point before updating your model?
Best answer: A
Explanation: Start with GAAP inventory from the 10-Q, bridge to management’s stated definition using disclosures, and corroborate with an independent source.
The right approach is to triangulate and reconcile the same metric across sources rather than picking one number. Use the 10-Q as the anchor (audited/GAAP framework), then bridge to management’s non-GAAP definition using disclosed components like reserves and in-transit goods, and corroborate reasonableness with an independent third-party indicator.
When a key driver (like inventory) conflicts across an earnings release/deck and a filed 10-Q, the analyst’s job is to validate by reconciling definitions and timing. Anchor on the 10-Q GAAP balance sheet figure, then use MD&A and footnotes to identify items that management may be excluding (for example, goods in transit classification and inventory reserves/markdown allowances). Build a bridge from GAAP to the deck metric so you can (1) explain why the numbers differ and (2) choose the appropriate definition for modeling working capital. Finally, cross-check the reconciled result against independent evidence (such as third-party shipment/import data or channel checks) to assess whether the company’s framing is directionally consistent with observable flows.
Which statement best describes the effective tax rate (ETR) for a company and a common driver of a year-over-year change in ETR?
Best answer: A
Explanation: ETR is computed as tax expense over pretax income, and mix of earnings across taxing regimes is a common driver of ETR changes.
The effective tax rate is calculated as total income tax expense (current plus deferred) divided by pretax income. Because it reflects where profits are earned and what items are taxable or deductible, it can move even if the statutory rate is unchanged. A common driver is a change in the geographic mix of earnings across jurisdictions with different tax rates.
Effective tax rate (ETR) is a financial-statement measure of the tax burden on reported earnings, computed as total income tax expense divided by pretax income. Because the numerator includes both current and deferred tax expense, ETR can diverge from cash taxes paid and from the statutory rate.
High-level drivers of ETR changes include:
Key takeaway: ETR is an accrual-based rate on pretax book income, not a cash-tax ratio or a margin metric.
You are reviewing a company’s working capital efficiency. Two analysts offer different explanations for the year-over-year change in cash conversion cycle (CCC).
Exhibit: Operating working capital days
| Metric (days) | FY2024 | FY2025 |
|---|---|---|
| DSO | 38 | 40 |
| DIO | 52 | 40 |
| DPO | 35 | 38 |
Analyst 1 says CCC improved mainly due to inventory and payables management. Analyst 2 says CCC improved mainly due to faster collections.
Which conclusion best fits the exhibit?
Best answer: C
Explanation: DSO worsened, while DIO fell and DPO rose, which shortens CCC and supports Analyst 1.
CCC is calculated as DSO + DIO − DPO. From FY2024 to FY2025, DSO rose (worse), DIO fell (better), and DPO rose (better). The net effect is a shorter CCC, so the improvement is explained by faster inventory conversion and slower cash paid to suppliers, not faster collections.
The cash conversion cycle links operating working capital to cash flow timing:
Using the exhibit, DSO increases from 38 to 40 days (collections slow), DIO decreases from 52 to 40 days (inventory converts faster), and DPO increases from 35 to 38 days (the firm takes longer to pay suppliers). The decrease in DIO and increase in DPO both reduce CCC and are consistent with inventory being a source of cash and payables providing financing. The rise in DSO is the opposite of “faster collections.”
A public manufacturer guides to the following 2026 capital spending (USD):
Which statement about maintenance versus growth capex is INCORRECT for an analyst’s forecast and valuation work?
Best answer: A
Explanation: If the forecast (and valuation) assumes growth, the associated growth capex must be included in projected cash outflows.
Maintenance capex is spending required to sustain the current revenue/operating base, while growth capex is spending intended to expand capacity and drive incremental revenue. In a DCF, free cash flow must reflect the cash outflows needed to achieve the forecast path. Excluding growth capex while still forecasting growth would overstate free cash flow and value.
The core distinction is economic purpose: maintenance capex preserves the existing asset base and keeps current output/revenue achievable, while growth capex increases future earning power (e.g., new capacity, new sites, major expansion). In forecasting, analysts often separate the two to (1) understand what cash is required just to “stand still” and (2) model discretionary investments that create incremental revenue. However, valuation must be internally consistent: if the forecast includes incremental volumes/revenue from an expansion, then the model’s cash flows must include the corresponding growth capex during the build period. For a steady-state terminal value, using a maintenance capex level consistent with sustaining the terminal run-rate is typical; excluding growth capex is only consistent if the terminal assumptions reflect no incremental growth investment.
Which statement is most accurate about stock-based compensation (SBC) and its impact on profitability metrics and per-share economics?
Best answer: B
Explanation: SBC is a non-cash expense that reduces GAAP earnings but is added back in cash flow, while the economic cost is dilution affecting EPS/value per share.
Under GAAP, SBC is an operating expense that reduces operating income and margins. Because it is non-cash, it is typically added back in the operating cash flow reconciliation. However, SBC is not “free”: it generally increases shares outstanding over time, so per-share economics must reflect dilution (for example, using diluted shares or modeling buybacks needed to offset issuance).
The core idea is that SBC affects profitability metrics and per-share value through two different channels. On the income statement, SBC is recognized as compensation expense, so it reduces GAAP operating income, net income, and margins. On the cash flow statement, SBC is a non-cash charge, so it is typically added back in the reconciliation from net income to cash from operations (raising reported CFO versus GAAP earnings).
For per-share analysis, the economic cost of SBC is primarily dilution: equity awards increase the diluted share count (and may require repurchases to offset). Therefore, even if an analyst uses an “adjusted” profit metric that adds back SBC, per-share metrics and equity valuation still need a realistic diluted share assumption to avoid overstating EPS and value per share.
A company reports a GAAP restructuring charge of $120 million this year (included in SG&A). Management discloses expected recurring SG&A savings of $70 million per year starting next year, and expects $90 million of cash restructuring payments over the next 12 months.
An analyst builds a DCF and (1) adds back the $120 million charge to LTM EBITDA as “non-recurring,” (2) reduces forecast SG&A by $70 million per year, and (3) does not model the $90 million cash restructuring payments. What is the most likely outcome of this modeling choice?
Best answer: D
Explanation: The model benefits from normalized earnings and recurring savings but omits the cash outflows required to achieve them, inflating free cash flow and valuation.
Restructuring charges are often non-recurring in reported earnings, but they commonly require real cash outflows (severance, lease exits, facility closures). Adding back the charge and also forecasting the recurring savings is reasonable only if the associated restructuring cash payments are reflected in the cash flow forecast. Omitting those payments inflates near-term free cash flow and biases the DCF upward.
The core distinction is between (a) one-time accounting charges that should not be treated as ongoing expenses in normalized earnings and (b) the cash costs required to execute the restructuring and unlock any sustainable savings. In a DCF, you can normalize EBITDA by excluding a non-recurring charge and separately incorporate recurring cost savings in future margins, but you must also reflect the restructuring cash payments (often in operating cash flow or as a separate cash item) during the period they occur. Here, the model captures the benefit twice (higher base-year EBITDA and lower future SG&A) while ignoring the $90 million cash outflow needed to achieve the savings, overstating near-term FCF and inflating present value. A common safeguard is reconciling adjusted EBITDA changes to cash flow to ensure “non-recurring” items are not simply disappearing from the forecast.
An analyst is modeling a consumer products company whose sales spike predictably every year in the fourth quarter. Before estimating the underlying growth trend, the analyst first removes the recurring within-year pattern by estimating seasonal factors from several years of quarterly data and adjusting each quarter by those factors.
Which technique is the analyst using?
Best answer: B
Explanation: Estimating seasonal factors and adjusting each quarter to isolate the underlying trend is deseasonalization.
The described process is designed to separate predictable calendar-driven effects from true growth. Estimating seasonal factors from multiple years and adjusting each quarter removes seasonality so a trend (and any cyclicality) can be analyzed on a comparable basis.
Seasonality is a recurring, calendar-driven pattern within a year (for example, a Q4 holiday spike) that can mask the underlying trend in a quarterly time series. Seasonal adjustment (deseasonalization) estimates the typical seasonal lift or drag for each quarter using several years of history and then removes that pattern from reported results. After deseasonalizing, the analyst can fit a trend line or evaluate growth rates that are not distorted by quarter-to-quarter seasonal swings. This is different from normalizing for cyclicality, which aims to adjust for broader economic or industry cycles across years rather than predictable within-year timing effects.
You are updating a 1-year forecast for a consumer hardware company with two product lines. Management expects a shift toward the higher-end product due to new features, but notes continued competitive discounting in the entry product.
Exhibit (last fiscal year):
Which forecasting approach best aligns with durable research standards when assessing how product mix and differentiation affect pricing flexibility and gross margin?
Best answer: B
Explanation: Separating drivers by product line supports evidence-based mix/pricing assumptions and makes margin impacts transparent via sensitivities.
The cleanest way to link differentiation and mix to margin is to model each product line separately with explicit assumptions for units, pricing, and costs. This preserves comparability (no ad hoc “normalizations”), makes the mix effect observable, and allows transparent uncertainty through sensitivities around mix and price realization.
When product differentiation drives pricing flexibility, the forecast should reflect that flexibility where it actually exists: at the product (or segment) level. A blended top-line or margin assumption can hide the mechanism (mix shift vs. price vs. cost) and can unintentionally double-count benefits. A durable, evidence-based approach is to build revenue and gross profit by line using explicit drivers (units, ASP, unit costs/gross margin), tie those drivers to observable support (history, competitor positioning, channel checks, announced features), and then show uncertainty with a small sensitivity around (1) mix shift and (2) price realization/discounting—especially for the less-differentiated product facing competition. The key takeaway is that mix and differentiation should change the model through explicit line-item drivers, not through opaque blended assumptions or one-off adjustments.
A packaging manufacturer reports one primary bottling line. Management says unit shipment growth next year will be limited by capacity until an expansion comes online.
Exhibit: Capacity and expansion
| Item | Amount |
|---|---|
| Current installed capacity (units/year) | 12.0 million |
| Current utilization (run-rate) | 90% |
| Expansion adds capacity (units/year) | 2.0 million |
| Expansion in-service date | July 1 (mid-year) |
Assume utilization can increase to 100% with no other constraints and the expansion contributes only for the second half of next year.
Based on the exhibit, what is the approximate maximum percentage increase in next year’s unit shipments versus the current run-rate?
Best answer: D
Explanation: Max next-year shipments are 13.0M units (12.0M + 1.0M half-year add), versus a 10.8M current run-rate, implying roughly 20% growth.
Current shipments at a 90% run-rate are 10.8 million units (12.0 million 90%). Next year, the most the company can ship is full utilization of current capacity plus half-year contribution from the expansion: 12.0 million + (2.0 million 0.5) = 13.0 million units. The implied maximum growth is (13.0/10.8) 1 " 20%.
Capacity utilization converts “installed capacity” into an implied shipment run-rate, and timing of expansions determines how much incremental capacity is actually available in the forecast period. Here, current run-rate shipments are 12.0 million 90% = 10.8 million units. The expansion adds 2.0 million units/year but only for half of next year, so it contributes 1.0 million units in that year. If the firm can run at 100% utilization, maximum next-year shipments are 12.0 + 1.0 = 13.0 million units.
\[ \begin{aligned} \text{Max growth} &= \frac{13.0}{10.8}-1 \\ &\approx 0.204 \;\text{or}\; 20\%\,. \end{aligned} \]A common error is treating a mid-year expansion as if it contributes a full year of output.
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