Capital One Case Interview Examples: 9 Practice Cases With Worked Math (2026)

A Capital One case is a calculation interview with a business story around it. Capital One's careers site says campus, business analyst, product manager and finance roles typically include a case or a mini-case, and a prep source reports a Business Analyst Power Day with two 60-minute business cases where about 35 to 40 minutes go on calculations. This page gives you nine worked examples with every number shown, so you can practise the part that decides the round.

Capital One publishes one full sample case with answers, Sammy's Sandwich Shop on its strategy interviewing page, and one bare prompt, a bus route, on its tips page. The Sandwich Shop decode below shows the official shape; Case 1 works the bus route with illustrative numbers. The other eight examples are constructed teaching cases in the formats candidates report, such as profitability, market analysis, financial product economics and operational efficiency. They are not Capital One interview questions, and every input is labelled as given or assumed. For how the process, rounds and scoring work, use the Capital One case interview guide and the Capital One Power Day guide; this page owns the practice.

Capital One practice cases at a glance

A Capital One case is usually interviewer-led and math-heavy: you get numbers on a credit card, banking or operations decision, calculate, interpret and recommend. These are the facts the sources support, with the source for each:

Start free now: Explorer Bank is a banking case adapted from the Columbia casebook: a card issuer decides whether to sign a co-branded credit card with an airline, and runs a contribution and break-even calculation to judge it. It has 8 questions, 1 with math, 1 exhibit, and fewer than 10 completed runs so far, so no median time yet. An AI interviewer runs it out loud, shows each exhibit when you reach it and scores the debrief. Your first full case is free when you create an account; the worked excerpt in Case 2 runs its card economics. A free account also gets one full run in every simulator inside the app: one complete run of each of our four McKinsey Solve practice formats (Red Rock, Sea Wolf, SFL Classic and SFL Island), a full Casey-style case, a full CCA-style diagnostic and a complete Bain SOVA-style diagnostic.

Case (style, industry)	Quant difficulty	Qualitative difficulty	The math you run	Median time
Explorer Bank (Independent, credit cards). 8 (1 with math), 1 exhibit.credit cardsQuant difficulty easyQualitative difficulty mediumFewer than 10 runsTry free	easy	medium	Contribution per dollar spent, monthly break-even spend	Fewer than 10 runsFewer than 10 runs	Try free
Bank Loan Operations (Independent, financial services). 7 (2 with math), 2 exhibits.financial servicesQuant difficulty hardQualitative difficulty mediumFewer than 10 runsTry free	hard	medium	Issued loans, contribution, profit by system	Fewer than 10 runsFewer than 10 runs	Try free
Orange Bank (McKinsey, banking). 10 (1 with math), 2 exhibits.bankingQuant difficulty mediumQualitative difficulty hardFewer than 10 runsTry free	medium	hard	Combined profit, weighted profit per customer	Fewer than 10 runsFewer than 10 runs	Try free
Cloud Computing Capacity Expansion (BCG, cloud infrastructure). 9 (4 with math), 3 exhibits.cloud infrastructureQuant difficulty hardQualitative difficulty hard30 min· 13 voice runsTry free	hard	hard	Price read, profit uplift, payback, payoffs	30 min13 voice runs30 min, 13 voice runs	Try free
UrbanBrew Coffee Margin Case (BCG, coffee chain). 6 (2 with math), 2 exhibits.coffee chainQuant difficulty mediumQualitative difficulty easy16 min· 117 voice runsTry free	medium	easy	Category gross margin, EBITDA recovery	16 min117 voice runs16 min, 117 voice runs	Try free

Three are adapted from consulting club casebooks (Columbia, Cornell Johnson and Michigan Ross); the rest were written for Road to Offer. The library has no case in Capital One's own style, so these are matched by case type: card and banking economics (Explorer Bank, Bank Loan Operations, Orange Bank), investment payback (Cloud Capacity Expansion) and margin math (UrbanBrew). None is Capital One's own material. More are in the case library, 92 cases in all. Every debrief scores seven categories: structure (25% of the score), quantitative analysis (20%), business judgment (15%), and problem understanding, exhibit reading, communication and synthesis (10% each), with feedback on every question. Median times come from completed runs between June 25 and September 22, 2026, and count runs, not people.

The nine worked examples and the math each one trains

Run every example the same way: write the formula before any number, say each assumption out loud, calculate, then say what the number means for the decision. If you want the reasoning habits first, read the case interview math practice guide and the mental math guide.

Capital One's own sample case: Sammy's Sandwich Shop, decoded

Capital One's published answer: the $5 promotion cuts profit per sandwich from $2.40 to $0.80, so the franchise needs three times its current volume just to break even, and the sample answer does not launch. This is the one full practice case Capital One publishes, with sample answers, on its strategy interviewing page. The summary and the working below are ours; the numbers are Capital One's.

The setup, in short. You run a sandwich franchise in the Washington, D.C. area, and head office wants every store to join a "$5 for a 12-inch sandwich" campaign. Should you take part?

The math, step by step.

1. Average price today: 60% x $6.00 + 40% x $7.50 = $3.60 + $3.00 = $6.60.
2. Average cost per sandwich (given): $4.20.
3. Profit per sandwich today: $6.60 - $4.20 = $2.40.
4. Profit under the promotion: $5.00 - $4.20 = $0.80.
5. Break-even volume: $2.40 / $0.80 = 3, so the store must sell 3 times today's volume, a 200% increase, to earn the same profit.

Why the sample answer says no. Tripling volume at a two-thirds lower margin is not realistic for one store. A strong answer still names what would change the call: if the promotion brings in many first-time customers who come back at full price, or adds high-margin sides and drinks, the break-even bar drops. Capital One stresses that there is no single right answer; what it rewards is a clear stance tied to the numbers.

What it teaches for every case below. Weighted averages from a mix, profit per unit before and after a price change, and the break-even volume ratio (old unit profit divided by new unit profit) recur in Cases 2, 5 and 8.

What does a product manager mini case look like at Capital One?

A product manager mini case is a short product decision backed by numbers: choose one success metric, protect it with guardrail metrics, and propose a staged test. Capital One's careers site says product manager roles typically include a case or mini-case and that a mini-case runs about 30 minutes, but it gives no product-specific format. The metric and test habits below follow a candidate-reported PracHub product manager mini case guide (dated August 24, 2026), which describes one primary metric, guardrail metrics and a staged A/B test. The case itself is constructed and every number is invented; it is not a Capital One question.

The prompt. "Improve how cardholders open a savings account in the Capital One app." Clarify first: who is eligible, and does success mean an opened account or a funded one?

Metric and guardrails. The success metric is the share of eligible users who fund an account within 14 days. Clicks on the new prompt can rise while funded accounts do not, so clicks are a diagnostic, not the goal. Guardrails catch harm: app crash rate, complaints per 1,000 users, and the share of new balances moved from existing accounts (stop if it passes 40%, a case assumption).

The math.

1. Today: 40,000 x 3.0% = 1,200 funded accounts a month.
2. Target: 40,000 x 3.6% = 1,440, so 240 more a month, a 20% relative lift.
3. Value: 240 x $55 = $13,200 of yearly contribution per monthly cohort.
4. Test size: to see 3.0% versus 3.6% with 80% power at the 5% significance level, each arm needs about 7.84 x (0.0291 + 0.0347) / 0.006^2, which is 13,900 users.
5. Two arms: 27,800 users, which is 70% of a month's eligible users, so about three weeks of traffic plus the 14-day window.

The staged test. Stage 1 shows the prompt to 5% of eligible users and reads guardrails only: 1,000 users per arm would give about 30 versus 36 funded accounts, a gap inside the noise (a standard error near 0.8 points against a 0.6 point lift). Stage 2 splits users 50/50 until each arm has about 13,900 users, so the readout lands about five weeks in. Stage 3 ships to everyone only if the funded rate is up and every guardrail holds, keeping a small holdout for a quarter to check that balances stay.

A strong answer says. "I would measure funded accounts within 14 days, not clicks. At a 0.6 point lift the test needs about 13,900 users per arm, so I would use a small first stage for safety only and decide on the full test. I would ship if funding rises and complaints and moved balances stay inside the limits, and stop if most new balances are just moved from existing accounts."

How does a Capital One mini case differ from a full case and the Power Day?

The mini case is the short opening test, the full case is a longer interviewer-led calculation, and the Power Day is the full set of interviews that contains the cases. Lengths differ by source, so confirm yours with the recruiter.

Capital One's what to expect page and its business analyst interview page are the source for the mini case, the Power Day contents and the job fit interviews. The 60-minute case, the 35 to 40 minute calculation block and the 3 to 4 hour day come from a candidate-reported guide, and the 45 to 60 minute product manager mini case from the PracHub guide above.

Case 1: How would you increase the profit of a bus route?

With the numbers below the route loses $25 a day and needs about 26 riders per trip to break even, so the first move is to see which lever is cheapest, not to list ideas. This is the example prompt on Capital One's case interview tips page: consider what factors you would weigh to increase the profits of a bus route. The page gives no numbers and no answer, so the figures here are illustrative. Its guidance is useful on its own: there is no single right answer, you should be ready to defend a recommendation with data, and you should not talk about your resume.

Clarifying questions to ask. Is the route run by the client, and is profit measured per day or per year? Can we change fares and schedules? Do we have riders by time of day? Are drivers and buses paid whether or not a trip runs?

Structure. Profit equals revenue minus cost. Revenue is trips times riders times fare. Cost splits into fixed for the day (driver, vehicle) and variable per trip (fuel). Levers are price, volume and cost, and a good answer picks one with a reason.

The math.

1. Revenue: 30 trips x 25 riders x $1.50 = $1,125.
2. Fuel: 30 trips x 12 miles x $0.75 = $270.
3. Total cost: $480 + $270 + $400 = $1,150.
4. Profit: $1,125 - $1,150 = a loss of $25 a day.
5. Break-even riders per trip: $1,150 divided by (30 trips x $1.50) = 25.6 riders.

Testing two levers. Raise the fare by $0.25 and assume 8% fewer riders, which is 23 riders: 30 x 23 x $1.75 = $1,207.50, so profit becomes $57.50 a day. Now test cutting the six emptiest trips, which carry 8 riders each: you lose 6 x 8 x $1.50 = $72 of revenue and save only 6 x 12 x $0.75 = $54 of fuel, because the driver and vehicle are paid anyway. Profit falls to a loss of $43 a day, so cutting them is wrong.

Recommendation. Do not cut the thin off-peak trips: each covers its $9 fuel cost at 6 riders. Test the $0.25 fare rise on one route, watching whether ridership falls by more than the 8% you assumed, because that is the number the answer rests on. Next, look at whether peak trips run full while off-peak buses are oversized.

Work a profit structure out loud before you check it against this one.

Practice a profit decline with exhibits

CPGEasy

Practice the profit case

Case 2: Should a card issuer sign a co-branded airline card?

On the case's own exhibit the card earns $1.50 of contribution per $100 spent, and a customer must spend $1,000 a month before the $15 servicing cost is covered. This excerpt uses the numbers in the Explorer Bank library case from the table above, adapted from the Columbia casebook. It is a card partnership case, and that is the shape a Capital One financial product question tends to take: a few unit economics, then a conditional recommendation.

The prompt. Explorer Bank issues its own-brand and partner cards. Alpha Airlines has proposed a co-branded card. Help Explorer decide how to evaluate the partnership and whether to pursue it.

A structure that works. Customer opportunity (who flies Alpha, how much card use is new to Explorer), card economics (revenue and cost per dollar spent, monthly servicing, acquisition and launch cost) and partnership risks (credit losses, cannibalization of existing cards, how duties are split).

The exhibit. Per $100 of card spend, Explorer earns merchant fees of $1.75, customer fees of $0.50 and interest of $0.25. Its costs are processing of $0.50, a partner revenue share of $0.35, benefits of $0.10 and credit loss of $0.05. Servicing is a separate $15 per customer per month.

The math.

1. Revenue per $100: $1.75 + $0.50 + $0.25 = $2.50.
2. Cost per $100: $0.50 + $0.35 + $0.10 + $0.05 = $1.00.
3. Contribution: $2.50 - $1.00 = $1.50 per $100, or 1.5%.
4. Break-even spend: $15 divided by 1.5% = $1,000 a month.
5. Check two customers: at $600 a month contribution is $9, a loss of $6 after servicing; at $1,500 it is $22.50, a gain of $7.50.

A strong answer says. "On the stated model the card breaks even at $1,000 of monthly spend per customer. The case gives no data on adoption, acquisition bonuses, launch cost, credit-loss distribution or overlap with our regional airline card, so I would recommend a conditional partnership or a pilot until those are validated, and I would test whether the typical Alpha flyer actually spends above $1,000."

Independent

Run the Explorer Bank card partnership case

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Practice this case free

Case 3: Is a new savings account worth launching?

With these inputs the account earns $440,000 of contribution in year one and pays back its $800,000 launch cost in about 2.1 years, but only because balances stay high. Leland reports a savings account prompt in which a product brings in about $500,000 a year against $200,000 of upfront marketing. This is a fuller constructed version, so you practise the payback logic with inputs you can check.

The prompt. "A bank plans a new savings account with a sign-up bonus. Should it launch, and what has to be true?"

Structure. Annual contribution (spread revenue minus servicing), upfront cost (marketing plus bonuses), then payback with attrition.

The math.

1. Deposits: 8,000 x $5,000 = $40M.
2. Spread revenue: $40M x 1.5% = $600,000.
3. Servicing: 8,000 x $20 = $160,000.
4. Year one contribution: $600,000 - $160,000 = $440,000.
5. Upfront cost: $400,000 + (8,000 x $50 = $400,000) = $800,000.
6. Simple payback: $800,000 divided by $440,000 = 1.8 years.
7. With 25% attrition, year two contribution is $440,000 x 0.75 = $330,000 and year three is $247,500. Cumulative is $440,000, then $770,000, then $1,017,500, so payback comes in year three: 2 years plus $30,000 divided by $247,500, about 2.1 years.

Sensitivities. At 40% attrition, years two and three earn $264,000 and $158,400, so payback stretches to about 2.6 years. If the average balance is $2,500 instead of $5,000, spread revenue is $300,000, contribution is $140,000 and payback is 5.7 years even before attrition, which fails the limit. Balance per account is the assumption that decides this case.

Recommendation. Launch, but make the bonus conditional on holding a minimum balance for a period, and test the balance assumption in a small cohort first. The question to ask next is whether these deposits replace cheaper funding or cannibalize existing accounts.

Drill the payback and cost-benefit steps in a timed set.

Practice an investment payback decision

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Practice the investment case

Case 4: How many accounts could a new travel card win in one metro?

On these assumptions the card wins about 12,000 accounts and earns $440,000 a year after local costs, but it breaks even at a 6.9% win rate, so the answer is sensitive to the share assumption. A prep source reports market analysis cases where Capital One considers launching a credit card in a specific geographic market and the candidate sizes the opportunity (The Business Analyst Job Description). This is a constructed version with a go or no-go at the end.

The prompt. "A card issuer is considering a travel rewards card with an annual fee in one metro area of 4 million people. Is the launch worth a local cost of $1.0M a year?"

Structure. Funnel from population to accounts, then accounts times contribution against fixed cost. Say which step you are least sure of before you start.

The math.

1. Adults: 4,000,000 x 75% = 3,000,000.
2. Cardholders: 3,000,000 x 80% = 2,400,000.
3. Eligible: 2,400,000 x 25% = 600,000.
4. Would consider: 600,000 x 20% = 120,000.
5. Accounts won: 120,000 x 10% = 12,000.
6. Contribution: 12,000 x $120 = $1.44M, less $1.0M is $440,000 a year.
7. Break-even accounts: $1.0M divided by $120 = 8,333. As a share of the 120,000 who would consider: 6.9%.

Sensitivity. If only 20% of cardholders are eligible, accounts fall to 9,600, contribution to $1.152M and profit to $152,000. The result stays positive but thin.

Recommendation. Launch in this metro only as a test: it clears the cost, but a win rate below 6.9% loses money, so set a stop point after the first cohort. The next step is validating the eligible share, since that is the largest uncertain input.

Practise building a sizing funnel with explicit units before you move on.

Practice a city entry sizing case

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Practice the city entry case

Case 5: Should a flat cashback rate rise from 1.5% to 2.0%?

At 2.0% the margin on each dollar of spend turns negative, so more spend loses money, and the change costs $108 of profit per account a year. Rewards feasibility appears in reported Capital One prompts (Leland). The trap in this constructed case is to ask how much extra spend would justify the change, when the unit margin says no amount does.

The prompt. "A card issuer wants to raise flat cashback from 1.5% to 2.0% on 2 million accounts to win more of customers' spending. Should it?"

Structure. Profit per account is margin per dollar of spend times annual spend, plus interest. Compute the margin before and after.

The math.

1. Annual spend per account: $1,800 x 12 = $21,600.
2. Margin per dollar now: 2.1% - 0.3% - 1.5% = 0.3%. Profit from spend: 0.3% x $21,600 = $64.80.
3. Margin per dollar at 2.0%: 2.1% - 0.3% - 2.0% = negative 0.2%. Profit from spend: negative $43.20.
4. Add interest of $90: profit per account falls from $154.80 to $46.80, a drop of $108, which is also 0.5% x $21,600.
5. Program cost: 2,000,000 x $108 = $216M a year.
6. What would have to be true: interest contribution per account would have to rise from $90 to $198, up 120%, just to hold profit flat at the same spend. Extra spend cannot help, since each extra dollar now loses 0.2 cents.

Recommendation. Do not roll out 2.0% to everyone. Test a narrower offer, such as 2.0% only on one category or above a spend threshold, and measure whether balances and interest rise, because that is the only path to profit. The next question is how much of the new spend is moved from a competitor's card and how much was already on this card.

Drill the contribution formula that this case rests on.

Practice a pricing floor and margin

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Practice the pricing case

Case 6: Where should a $400,000 acquisition budget go?

Funding the cheapest capped channel first and putting the rest in mail gives about 1,472 active accounts, 17% more than mail alone, at a blended cost of about $272 each. Marketing spend and customer profitability appear in prep sources as business analyst case types (OphyAI). This constructed case drills the funnel math that sits under them.

The prompt. "A card team has $400,000 this quarter to acquire new accounts. Which channels should it fund?"

Each active account contributes $140 a year (Given).

Structure. Cost per active account by channel, rank them, fill capped channels in order, then check payback.

The math.

1. Mail per 500,000 offers: cost $400,000; responders 3,000; approved 1,800; active 1,260.
2. Cost per active account: mail $400,000 divided by 1,260 = $317; partner $250,000 divided by 1,000 = $250; search $90,000 divided by 240 = $375.
3. Payback on $140 a year: partner 1.8 years, mail 2.3 years, search 2.7 years.
4. Fund partner referral fully: $250,000 for 1,000 active accounts. Search costs more than mail, so skip it. Put the remaining $150,000 in mail: 187,500 offers x 0.6% x 60% x 70% = 472.5 active accounts.
5. Total: about 1,472 active accounts. Blended cost: $400,000 divided by 1,472 = about $272. Blended payback: $400,000 divided by (1,472 x $140 = $206,080) = 1.9 years.
6. Compared with all mail (1,260 accounts), the mix gets 17% more.

Recommendation. Fund partner referral first, then mail, and do not fund search at these costs. Active accounts can differ in quality by channel, so track the first cohort's spend and attrition by channel before scaling. Confirm with the partner that 1,000 is a real cap and not a negotiating limit.

Turn cost per account and yearly contribution into a lifetime value check.

Practice a channel growth plan

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Practice the growth plan

Case 7: Why are customers waiting so long on the service line?

Demand of 20,000 calls a day is 115% of a 17,333-call capacity, so waits grow every day, and the cheapest fix is to move at least 22% of calls to self-service. A prep source lists a call center with longer wait times as a reported operational efficiency case (The Business Analyst Job Description). Check the capacity math before suggesting solutions.

The prompt. "Waits on a card servicing phone line have doubled. Why, and what should the head of operations do?"

Clarifying questions. Did call volume rise or capacity fall? What are the top reasons customers call? Are there peaks by hour? Can agents handle every call type?

The math.

1. Calls per agent per day: 6.5 hours x 60 divided by 9 minutes = 43.3.
2. Capacity: 400 x 43.3 = 17,333 calls.
3. Demand against capacity: 20,000 divided by 17,333 = 115%. About 2,667 calls a day go unanswered, which builds the queue.
4. Option A, hire: capacity needed at 90% utilization is 20,000 divided by 0.9 = 22,222 calls, which is 513 agents, so 113 more at $60,000 each: $6.78M a year, $20.3M over three years.
5. Option B, self-service: demand must fall to 17,333 x 0.9 = 15,600, so 4,400 calls must move, which is 22% of volume. Cost over three years: $2.0M + (3 x $0.5M) = $3.5M.
6. Option C, shorter calls alone: cutting handle time to 7.5 minutes lifts capacity to 52 calls per agent, so 20,800 in total, which is still 96% utilization. At 90% you would still need 28 more agents, about $1.7M a year.

Recommendation. Find out why people call first. If at least a fifth of calls are simple tasks such as balance, payment date or card activation, build self-service, and pair it with handle-time coaching to close the rest. Hire only for the gap that remains. The assumption that must hold is the 22% containment, so pilot it on the top reasons before committing the full build.

Another case with the same shape: waits rise after a consolidation, and the answer sits in capacity against demand.

Practice a call center case

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Practice the call center case

Case 8: Which credit score band, if any, should a card stop approving?

Band D loses $30 per account and stopping it adds about $300,000 on 100,000 accounts, but the answer flips if its charge-off rate is below 17%. The reported financial product questions include customer profitability segments and approval processes. Read this exhibit for the one comparison that answers the question.

The prompt. "Here is last year's result for 100,000 new card accounts. Should the bank stop approving any score band?" Servicing is $50 per account and funding cost is 4% of the average balance. Case assumption: a charged-off account loses its average balance.

Structure. Profit per account is revenue minus servicing, funding and credit loss. Compute it by band, then weight by share.

The math.

1. Band A: $200 - $50 - $72 - $18 = $60. Band B: $250 - $50 - $60 - $45 = $95. Band C: $300 - $50 - $48 - $96 = $106. Band D: $260 - $50 - $40 - $200 = a loss of $30.
2. Weighted profit per account: (0.30 x 60) + (0.35 x 95) + (0.25 x 106) + (0.10 x -30) = 18 + 33.25 + 26.5 - 3 = $74.75, or $7.475M on 100,000 accounts.
3. Without band D: 18 + 33.25 + 26.5 = $77.75 per original account, or $7.775M. Gain: $300,000, about 4.0%.
4. Break-even charge-off rate for D: ($260 - $50 - $40) divided by $1,000 = 17%. The exhibit shows 20%, a cushion of three points.

What the exhibit says. The safest band, A, is not the most profitable, because its customers earn little. Band C, a lower score band, earns the most. So a blanket tighten-up would have been wrong; only D loses money.

Recommendation. Stop approving band D at current terms, or test a lower credit line and a higher price for it, and keep C. Because the answer flips at 17%, check whether a 20% charge-off rate is stable across last year's cohorts before changing policy.

Practise the exhibit habit that decides this case: find the comparison before you calculate.

Practice reading a bank growth exhibit

Financial ServicesHard

Practice the banking case

Case 9: Should a card issuer buy a smaller digital lender for $600M?

At $600M the deal pays back in 12.8 years against a 10-year limit, so the answer is no at this price, with $450M as the most it could pay. Reported strategy-role cases focus on ROI analysis and go or no-go decisions (Leland). This constructed case is about run-rate profit and what must be true.

The prompt. "A card issuer can buy a smaller digital lender with 400,000 customers for $600M. Should it?" Case assumptions: ignore tax and the time value of money, and the board wants payback within 10 years.

Structure. Standalone profit, plus synergies, minus dis-synergies, over total outlay.

The math.

1. Standalone profit: $150M - $120M = $30M.
2. Cost synergies: 25% x $120M = $30M.
3. Customers lost: 10% x 400,000 = 40,000. Revenue per customer: $150M divided by 400,000 = $375. Lost revenue: $15M. Lost profit at 40%: $6M.
4. Run-rate profit after the deal: $30M + $30M - $6M = $54M.
5. Total outlay: $600M + $90M = $690M. Payback: $690M divided by $54M = 12.8 years, over the 10-year limit.
6. Maximum price for a 10-year payback: ($54M x 10) - $90M = $450M.
7. Or at $600M, run-rate profit must be $69M, so synergies would need to reach $45M, which is 37.5% of the target's cost.

Recommendation. Do not pay $600M. Counter at $450M or below, or proceed only if diligence shows at least $45M of savings is real. Test the two weakest inputs: whether 25% of cost can really be removed and whether churn stays at 10%.

Practice an acquisition value case

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Practice the acquisition case

What these nine cases have in common

Each case had one move that separated a strong answer from an average one. In Case 1 it was seeing that the thin trips cover their fuel. In Case 5 it was noticing the per-dollar margin turned negative before asking about extra spend. In Case 8 it was that the safest band was not the most profitable. A short checklist captures the habit:

• Formula first. Say "profit per account is revenue minus servicing, funding and loss" before you touch a number. Capital One's own page says interviewers care how you reach an answer as much as the answer.
• Sign check. Before you scale a unit margin by volume, check whether it is positive.
• One sensitivity. Name the single input most likely to be wrong and what happens if it moves, as in the 17% charge-off line or the 22% containment line.
• A decision, then the next question. The recommendation has a number and a risk in it. Close with what you would check next.
• Calculator or not. Practise each case with a basic calculator and again without, since the sources disagree on what you get.

For the product interview and job-fit rounds that sit beside the case, see the Capital One Power Day guide. If a video screen comes first, the Capital One HireVue guide covers it. For more worked examples across firms, the case interview examples hub collects them, and these framework guides cover the methods used above: break-even analysis, profitability, cost-benefit analysis, customer lifetime value, market sizing and M&A cases. For a banking angle, see the banking case interview guide and the financial services case interview guide.

When a step slipped, convert it into a rep rather than another read: a timed set on case math or a full case out loud from the case library.

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• Learn how to caseGuided learning · 35 min
• The Case Interview MethodLesson · 8 min
• Profitability & Turnaround: AfrihealSkill drill · 5 min
• Profitability & Turnaround: Berty BankSkill drill · 5 min

Sources and further reading (checked November 5, 2026)

• Capital One Careers, what to expect during your interview (Power Day, job fit interviews, mini-case of about 30 minutes, video required, Data Science Challenge): capitalonecareers.com/what-to-expect-during-your-capital-one-interview-students-101
• Capital One Careers, strategy interviewing (the Sandwich Shop practice case with sample answers, interviewer-led format, calculators when appropriate): capitalonecareers.com/strategy-interviewing
• Capital One Careers, four tips to ace your case interview (the bus route example prompt, what is assessed): capitalonecareers.com/4-tips-to-ace-your-capital-one-case-interview-101-students
• Capital One UK, business analyst case study guide (skills assessed, link to a practice case study guide that this page could not read): jobs.capitalone.co.uk/business-analyst-case-study-guide
• The Business Analyst Job Description, Capital One business analyst case interview, candidate-reported Power Day lineup, case clock, calculator and case types: thebusinessanalystjobdescription.com/capital-one-business-analyst-case-interview
• Capital One Careers, cracking the business analyst interview (mini case as the opening step, then a virtual Power Day with two to three more cases and a product strategy conversation): capitalonecareers.com/cracking-the-business-analyst-interview-students-101-cdev
• PracHub, Capital One product manager mini case interview guide, candidate-reported product manager mini case length, primary and guardrail metrics and staged tests (dated August 24, 2026): prachub.com/resources/capital-one-product-manager-mini-case-interview-guide-market-sizing-metrics-and-product-judgment
• Leland, 50+ Capital One interview questions, reported case prompts (rewards card feasibility, savings account viability), interviewer-led format and calculator: joinleland.com/library/a/50-capital-one-interview-questions-and-how-to-answer-them-with-examples
• OphyAI, Capital One interview guide, candidate-reported calculator caution and case types by role: ophyai.com/blog/company-guides/capital-one-interview-guide

Prep sources are candidate reports and third-party guides, not Capital One. The eight constructed cases, the product manager mini case and the illustrative bus route numbers are Road to Offer teaching material.