Puma Biotechnology (PBYI) Revenue (2017 - 2026)
Puma Biotechnology (PBYI) posted Revenue of $56.5 million for Q2 2026, up 7.8% from $52.44 million a year earlier and up 26.1% from the prior quarter.
Puma Biotechnology (PBYI) Revenue (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Puma Biotechnology was $231.24 million, down 2.9% year-over-year; for FY2025, it came in at $228.37 million, down 0.9% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In prior years, Puma Biotechnology's Revenue was $230.47 million in FY2024 (-2.2%), $235.64 million in FY2023 (+3.3%), $228.03 million in FY2022 (-9.9%) and $253.16 million in FY2021 (+12.5%).
- Quarterly Revenue has run from a low of $43.77 million in Q1 2024 to a high of $80.54 million in Q3 2024 over five years.
- On a year-over-year basis, Revenue increased in five of the last eight quarters, with growth averaging 5.3%.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2024, with growth of 43.5%; the weakest was Q1 2022, with a decline of 53.4%.
- According to Business Quant data, Revenue for the three prior quarters was $44.81 million (Q1 2026), $75.45 million (Q4 2025) and $54.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Puma Biotechnology | 507.45 Mn | 120.09 Mn | 44.03 Mn | 56.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.50 Mn |
| Mar 31, 2026 | 44.81 Mn |
| Dec 31, 2025 | 75.45 Mn |
| Sep 30, 2025 | 54.48 Mn |
| Jun 30, 2025 | 52.44 Mn |
| Mar 31, 2025 | 46.01 Mn |
| Dec 31, 2024 | 59.08 Mn |
| Sep 30, 2024 | 80.54 Mn |
| Jun 30, 2024 | 47.08 Mn |
| Mar 31, 2024 | 43.77 Mn |
| Dec 31, 2023 | 72.18 Mn |
| Sep 30, 2023 | 56.12 Mn |
| Jun 30, 2023 | 54.57 Mn |
| Mar 31, 2023 | 52.78 Mn |
| Dec 31, 2022 | 65.68 Mn |
| Sep 30, 2022 | 57.10 Mn |
| Jun 30, 2022 | 59.52 Mn |
| Mar 31, 2022 | 45.74 Mn |
| Dec 31, 2021 | 55.36 Mn |
| Sep 30, 2021 | 46.25 Mn |
Puma Biotechnology Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=revenue&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "PBYI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();