Puma Biotechnology (PBYI) Research & Development (2012 - 2026)
Puma Biotechnology's Research & Development came in at $18.9 million for Q2 2026, up 22.3% from $15.45 million a year earlier but down 4.5% from the prior quarter.
Puma Biotechnology (PBYI) Research & Development (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Puma Biotechnology reported Research & Development of $71.44 million, up 25.3% year-over-year; for FY2025, it was $62.07 million, up 13.0% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- Going back by year, Research & Development was $54.94 million in FY2024 (+9.0%), $50.38 million in FY2023 (-3.6%), $52.24 million in FY2022 (-27.3%) and $71.87 million in FY2021 (-26.4%).
- The five-year range for quarterly Research & Development is $11.25 million (Q3 2022) to $19.8 million (Q1 2026).
- Year-over-year, Research & Development has increased for ten consecutive quarters, with growth averaging 18.2% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q1 2026 (growth of 42.8%), and the weakest in Q4 2021 (a decline of 41.4%).
- Business Quant data shows PBYI's Research & Development at $19.8 million (Q1 2026), $16.84 million (Q4 2025) and $15.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Puma Biotechnology | 499.78 Mn | 112.42 Mn | 44.03 Mn | 18.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.90 Mn |
| Mar 31, 2026 | 19.80 Mn |
| Dec 31, 2025 | 16.84 Mn |
| Sep 30, 2025 | 15.91 Mn |
| Jun 30, 2025 | 15.45 Mn |
| Mar 31, 2025 | 13.86 Mn |
| Dec 31, 2024 | 15.17 Mn |
| Sep 30, 2024 | 12.55 Mn |
| Jun 30, 2024 | 13.63 Mn |
| Mar 31, 2024 | 13.59 Mn |
| Dec 31, 2023 | 12.87 Mn |
| Sep 30, 2023 | 11.45 Mn |
| Jun 30, 2023 | 13.36 Mn |
| Mar 31, 2023 | 12.71 Mn |
| Dec 31, 2022 | 13.78 Mn |
| Sep 30, 2022 | 11.25 Mn |
| Jun 30, 2022 | 11.97 Mn |
| Mar 31, 2022 | 15.24 Mn |
| Dec 31, 2021 | 14.17 Mn |
| Sep 30, 2021 | 18.84 Mn |
Puma Biotechnology Research & Development 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=research-and-development&ticker=PBYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PBYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();