Every new molecular entity and new biologic the FDA approved in the last decade — who sponsored it, what it treats, how many programs fell away on the road from Phase 1, and what each approval is modelled to earn in years 1 through 10.
Read with care: how many of a company's failed programs can be identified varies a lot (GSK ≈ 150, Pfizer ≈ 30), and a thin sample leans toward its winners. Cards under 50 programs are flagged. Rates are descriptive, not a league table. See Method.
| Drug | Company | Approved | Peak $M | 10-yr total $B | y1 → y10 |
|---|
Each drug carries a low–high band of roughly 0.35× to 2.6× the central estimate. Year 1 is the first 12 months after approval. Figures are in nominal US dollars.
Drugs on FDA CDER's annual Novel Drug Approvals list (new molecular entities and new therapeutic biologics) from 21 October 2016 to 20 October 2026. 2021–2026 come straight from FDA's published tables. FDA has retired the 2016–2020 pages, so those years are rebuilt from Drugs@FDA through openFDA as original NDA/BLA approvals classed Type 1; annual counts land within one of CDER's published totals, and the extras are removed by de-duplication. Vaccines, blood products and gene therapies are regulated by CBER and are not included.
Sponsors are rolled up to their parent as of October 2026 (for example Genentech to Roche, Celgene to BMS, Seagen to Pfizer). Therapeutic areas are assigned from the FDA indication text with keyword rules, with manual fixes where text was missing; a drug gets one area.
Every approved drug is traced through ClinicalTrials.gov by generic name, brand and code names (for instance MK-3475) found in the same intervention record. Only studies that started before approval are counted. A study is halted when its status is terminated, withdrawn or suspended. Phase 1 trials are often not registered, so a drug can legitimately show no Phase 1.
Known biases. Identification of failures depends on how a company labels its studies, so coverage differs widely and a thin sample leans toward its approved drugs. Alias fragmentation can make a program that was renamed after Phase 1 look like a Phase 1 failure. Pooled across all 26 sponsors, the Phase 1 pass rate here is lower and the Phase 3 pass rate higher than commonly quoted industry benchmarks, which fits both effects. Treat company comparisons as indicative.
Central peak sales = median for the therapeutic area × orphan factor (0.5) × drug-type factor × priority-review factor (1.1) × sponsor-scale factor, scaled by 0.45 so the un-anchored tail sums to a plausible total. About seventy well-known drugs instead use an editorial peak taken from public commentary. Annual sales follow an S-shaped ramp whose time to peak depends on area and orphan status, with the first year halved as a partial year, and two COVID antivirals use hand-set shapes. Low and high bands are 0.35× and 2.6×. These numbers are for exploration; they are not forecasts and not company-reported sales.
Code, pipeline and raw extracts: github.com/kuod/ph1-to-fda.