Odds
Will the drug get through trials and approval?
- Tool
- Probability by phase
- Source
- FDA's rough phase rates
A pharma or biotech case usually asks whether a drug is worth developing, buying, launching or defending, and the answer turns on three things a generic framework leaves out: the chance the drug fails in trials, how many years of protected sales it has, and who pays for it. Weight every future dollar by the odds of reaching it, discount it for time, and check when exclusivity ends before you name a price or a deal value. Soreno, an AI voice interview practice app for consulting, investment banking and other finance candidates, has a free market sizing builder for the patient-count estimates most drug cases open with, no sign-up needed, plus full mock cases with scored feedback.
Updated
Most of a drug's cost is spent years before anyone knows whether it works, and most of its sales arrive in a window that closes when patents and exclusivity run out. So a pharma case is a bet on probability and time. A launch price, a license fee or an acquisition only makes sense once you have weighted the cash flows by the odds of approval, placed them in the right years and asked who will actually pay.
Will the drug get through trials and approval?
When costs fall and when sales arrive.
How long until generics or biosimilars arrive.
Insurers and government programs, not mostly patients.
Halvard Pharma, an invented drug company, makes $1.2 billion a year from one drug whose U.S. exclusivity ends in 3 years. A biotech offers to license Halvard a drug that has just finished Phase 2, for $150 million up front. Halvard would pay for Phase 3 and keep the profits. Should it sign? Halvard, its drugs and its numbers are Soreno's invention, for practice. The one outside input is FDA's rough share of Phase 3 drugs that move on, used as the range of approval odds. Money is in millions of dollars and years count from today.
Clarify
Halvard's goal is to replace sales it will lose. Its best seller makes $1.2 billion a year and loses U.S. exclusivity after year 3. If it keeps 20% of its sales in the first year after generics arrive (our assumption), $960 million of yearly sales disappear by year 4. Ask what the new drug costs to finish, when it could launch and how big it could be.
Lay out the years
Phase 3 costs $120 million a year for 3 years. If it succeeds, filing and launch work cost $40 million in year 4, sales start in year 5 and reach a peak of $1 billion a year in year 8. Halvard keeps 60% of sales after cost of goods, selling and royalties, $600 million a year at peak. Exclusivity ends after year 12, and sales fall to 20% then 10% of peak as generics arrive.
Unrisked value
Discounted at 10% a year, the contribution is worth $1.76 billion today, against $298.4 million of Phase 3 cost and $27.3 million of filing cost. Net, $1.43 billion. Against a $150 million fee, that looks like a bargain. It isn't, because approval is far from certain.
Weight by the odds
FDA's clinical research page says about 25 to 30% of drugs move on from Phase 3. Phase 3 is paid either way, but filing cost and every year of sales happen only if it succeeds. So the value is 25% × $1,731.5 million − $298.4 million = $134.5 million at 25%, and $221 million at 30%.
Compare with the ask
At 25% the drug is worth $15.5 million less than the $150 million fee. At 30% it is worth $71 million more. The fee breaks even at about a 25.9% chance of success. When the decision turns on a probability no one knows to the point, the deal terms should carry the risk, not Halvard's guess.
Restructure
Offer $75 million up front and $150 million more if the drug is approved at the end of year 4. Weighted and discounted, that costs $100.6 million at 25% and $105.7 million at 30%, below the drug's value at either end. The biotech gets more in total if the drug works, and Halvard pays less if it fails.
Recommend
License the drug, with most of the price tied to approval. But don't call the cliff solved: the new drug launches in year 5, after Halvard's best seller has already gone generic, and weighted by the odds its peak is worth $250 million to $300 million of yearly sales, against a $960 million hole. Halvard also needs a drug that is already approved or filed. Next step: test peak sales against a patient count and a net price that payers will accept.
Short definitions, with the source named where an agency or a company states it. Anything unlabeled is our plain-words summary.
Clinical phases
FDA's clinical research page describes Phase 1 with 20 to 100 people, Phase 2 with up to several hundred and Phase 3 with 300 to 3,000, lasting 1 to 4 years. It puts the share that moves on at about 70% after Phase 1, 33% after Phase 2 and 25 to 30% after Phase 3. The page was last updated January 4, 2018, so treat these as rough.
Patent
FDA's patents and exclusivity FAQ says a new U.S. patent runs 20 years from the date the application was filed, and that many other factors can affect how long it lasts. The same FAQ says patents can be granted at any time during a drug's development, so the years of protected selling left at launch can be far fewer than 20.
Exclusivity
The same FAQ lists, among others, 5 years for a new chemical entity, 7 years for an orphan drug and 6 months of pediatric exclusivity added to existing patents and exclusivity. Patents and exclusivity may or may not run at the same time.
Generics
In a December 2019 study of drugs that first faced generics from 2015 to 2017, FDA found median generic prices 39% below the brand's pre-entry price with one generic maker, 54% with two and 79% with four, using manufacturer price data. With six or more, prices were more than 95% lower.
Biosimilar
FDA describes a biosimilar as a biologic that is highly similar to an approved original biologic, the reference product, with no clinically meaningful differences, but not identical to it.
Risk-adjusted NPV
Weight each year's cash flow by the chance the drug is still alive then, then discount it. Merck's 10-K says it values acquired research projects on probability-adjusted future net cash flows that reflect each product's stage of development, the same idea in an annual report.
Net price
Revenue in a case should be net of the discounts and rebates paid to insurers and government programs. A peak sales figure built on list price overstates the drug. In the U.S., pharmacy benefit managers negotiate many of those rebates for insurers and decide where a drug sits on a formulary, the list of drugs a plan covers.
Figures to test a pharma case's assumptions against. CMS's figures are for 2024, from its National Health Expenditure fact sheet, which CMS updates as each new year of data comes out, so check for a newer year before you quote them.
Spending
CMS says U.S. prescription drug spending rose 7.9% to $467.0 billion in 2024, out of $5.3 trillion of total health spending. That is about 8.8% of the total, our division. CMS projects retail prescription drug spending to grow fastest of the major categories from 2025 to 2034, at 5.7% a year on average.
Payers
Of total 2024 health spending, CMS puts private health insurance at 31%, Medicare at 21% and Medicaid at 18%. Those shares are for all health care, not just drugs, but they show why a launch case has to ask which payer covers the patients.
Concentration
Merck's 10-K for 2025 says Keytruda represented 49% of its total sales. It says it expects Keytruda sales to be materially hurt by biosimilar competition between 2028 and 2029, which could begin in December 2028, when the primary compound patent expires. That is the patent cliff in one filing, as Merck described it on February 24, 2026.
The fall
The same 10-K said Januvia and Janumet would lose U.S. market exclusivity in May 2026 and that Merck expected to lose nearly all U.S. sales of both after that, after a fall in Januvia sales in the first half of 2026 that it tied to government price setting. Use it when a case assumes a brand keeps most of its sales after generics arrive.
These first moves are ours. Each one says which number to build before any list of factors.
Launch price
Start from what the drug does better than today's treatment, price against that treatment, then ask what insurers will cover and what rebates they will demand. Cost to make the drug barely matters.
License or buy a drug
Lay out costs and sales by year, weight them by the odds of each phase and discount them. Then shape the deal so payments follow the risk, as in the Halvard case.
Patent cliff
How much yearly revenue goes, how fast, and which pipeline or acquired drugs land in time to replace it. Timing is usually the harder part.
Launch sizing
Prevalence, then diagnosed, treated and eligible, then peak share and net price per year. Trinity's practice case is built this way.
Sales force
Count the doctors who treat the condition, decide how often each should be visited, divide by the calls one rep can make in a year. Specialists in a few centers need far fewer reps.
Biosimilar or generic entry
Estimate how far prices fall as makers enter, what share an entrant can win and what it costs to develop and make. Being one of the first few makers is worth far more than being the sixth.
Pipeline choices
Rank drugs by risk-adjusted value per dollar still to spend, then check strategic fit, how well each fits the company's sales force, and spread of risk.
One opening misses the risk, one builds it in. We wrote both.
Weak opening
"I'd look at the market size, competitors, the drug's efficacy, pricing and Halvard's capabilities, then decide." Every item is fair, but it never mentions that the drug might fail Phase 3 or when its sales would arrive, so it can't say whether $150 million is a fair price.
Strong opening
"Two questions decide this: what the drug is worth once I weight its sales by the chance it gets through Phase 3, and whether it arrives in time to replace the best seller. I'd lay out costs and sales by year, apply the Phase 3 odds and discount it, and compare that with the $150 million fee. If the answer depends on the odds, I'd change the deal terms rather than the guess."
Practice cases set in pharma on the firm pages we read on October 31, 2026. Our healthcare consulting guide covers how these firms interview.
L.E.K.
On L.E.K.'s interview preparation page: a large drug company has a daily pill that regrows hair within three months. Estimate the market and describe how you would price it.
L.E.K.: Interview PreparationZS
ZS's second practice case asks how to price a drug for chronic obstructive pulmonary disease that showed a best-in-class drop in flare-ups in trials. It works through patient numbers, doses per year, two competitors and whether to double production.
ZS: Practice case twoTrinity Life Sciences
Trinity's practice case gives a mid-size company a choice between a hyperhidrosis drug and a wet AMD biosimilar, both in Phase 3. Its answers, which we read on October 30, 2026, put their peak revenue at about $200M and $300M.
Trinity: Practice case studyClearView
ClearView's first practice case asks whether a mid-sized company's inhaled insulin can reach $300M a year of U.S. peak revenue, starting from the size of the insulin market.
ClearView: Practice case #1From FDA: Step 3, Clinical Research, FDA: Frequently Asked Questions on Patents and Exclusivity, FDA: Generic Competition and Drug Prices, FDA: Generic Competition and Drug Prices, New Evidence (December 2019), FDA: Biosimilars Basics for Patients, CMS: National Health Expenditure Fact Sheet and Merck: Form 10-K for 2025.
The answer to one question in Trinity's practice case lists the competitive landscape, differentiation, pricing, commercial investment and strategic fit as the factors behind choosing a drug. In our experience, these are the habits that make a pharma answer stand out.
Asking what stage the drug is in and weighting its future sales by the odds of getting there, instead of valuing it as if approval were certain.
Placing costs and sales in the years they happen, and noticing when a new drug arrives too late to replace a falling one.
Asking when patents and exclusivity end, and what sales look like after generics or biosimilars arrive.
Pricing from the value over today's treatment and checking what insurers and government programs will pay, after rebates.
Saying which way the decision goes, which assumption it depends on, and how a deal or a trial design could reduce that risk.
Each prompt is set at a drug maker, a biotech or an investor in one. The note under it is the start we would want to hear.
What a drug that isn't on the market yet is worth.
A drug company can license a Phase 2 cancer drug for $200 million up front. Is it worth it?
Lays out trial costs and sales by year, weights them by the odds of each phase, discounts them and compares the result with the fee, then proposes milestone payments.
A biotech has three early drugs and money to take only one into Phase 3. Which should it pick?
Ranks them on risk-adjusted value per dollar still to spend, then on fit with the company and how the risks differ.
A large pharma company wants to buy a biotech whose only drug is in Phase 3. How would you value it?
Values the drug with risk-adjusted NPV, adds what the buyer's sales force would add, and asks what happens to the price if Phase 3 fails.
A drug is approved or close to it.
A pharmaceutical company is about to launch a new drug. How would you set the price?
Prices against today's treatment and the value the drug adds, then checks what insurers will cover and the rebates they will ask for. Practice it, see a model answer
How many sales reps does a company need to launch a drug for a rare blood cancer?
Counts the specialists and treatment centers, sets how often each should be visited, and divides by the visits one rep can make in a year.
A new drug's sales are half of forecast a year after launch. Why?
Walks down the funnel: diagnosed patients, doctors prescribing, insurers covering, patients starting and staying on the drug, and finds the step that broke.
Protection is ending or a rival is coming.
A blockbuster drug loses U.S. exclusivity in two years. What should the company do?
Sizes the yearly sales at risk and how fast they go, then compares what the pipeline and possible deals deliver in time.
Should a generic drug maker enter a market where the brand's patent expires next year?
Estimates how many makers will enter, how far prices fall with each one, and what share and margin the client can expect if it is early.
A rival's biosimilar of the client's best-selling biologic launches next quarter at a lower price. How should the client respond?
Sizes the sales at risk and how far prices fall as more makers enter, then weighs a price cut against payer contracts and keeping patients already on the drug.
The errors that cost candidates most in our practice pharma cases.
An unrisked NPV can be ten times the risk-adjusted one. Ask the phase first, then weight every later cash flow.
A dollar of sales in year 10 is worth far less than a dollar of trial cost in year 1. Lay the cash flows out by year.
Only patients who are diagnosed, treated and eligible for the drug count, and the drug wins only a share of them.
Development money is already spent and doesn't tell you what payers will accept. Price against the current treatment and the value added.
Sales don't run forever. Ask when protection ends and model the drop, which FDA's price data show and Merck's filing expects can be steep.
Rebates and discounts to payers come off the top. A peak sales number should be net.
In a full mock case, Soreno's AI interviewer hands over trial results, patient counts and prices as you request them, challenges the odds and timing you assume, and scores the whole session.
A case set at a drug company, a biotech or an investor in one. Common prompts are pricing a new drug, licensing or buying a pipeline drug, responding to a patent cliff, sizing a patient market, sizing a sales force and deciding whether to enter as a generic or biosimilar maker.
The value of a drug's future cash flows, each weighted by the probability the drug is still alive in that year and then discounted. It is the standard way to compare a pipeline drug with its price. In our worked case it turns an unrisked value above $1.4 billion into about $134.5 million to $221 million.
Use what the interviewer gives you. If you need a reference, FDA's clinical research page says about 70% of drugs move on from Phase 1, 33% from Phase 2 and 25 to 30% from Phase 3. That page was last updated in January 2018.
FDA says a new U.S. patent runs 20 years from its filing date, though other factors can change that. Exclusivity is separate: for example 5 years for a new chemical entity, 7 for an orphan drug, and 6 months of pediatric exclusivity added on top.
Fast once several makers enter. FDA's December 2019 study found generic prices 39% below the brand's pre-entry price with one generic maker and more than 95% below with six or more. In its 2025 10-K, Merck said it expected to lose nearly all U.S. sales of Januvia and Janumet after they lost exclusivity in May 2026.
Healthcare cases also cover hospitals, insurers and providers, where the questions are about capacity, cost and reimbursement. Pharma cases center on a product with trial risk and a limited window of protected sales. Our healthcare consulting guide covers the firms that recruit for both.
No. You need the business logic: odds, timing, protection and payers. If you have a science background, use it to ask better questions about how a drug compares with today's treatment, not to lecture.