Olema Pharmaceuticals (OLMA) Research & Development (2020 - 2026)
Olema Pharmaceuticals (OLMA) recorded Research & Development of $57.79 million in Q2 2026, up 31.6% from $43.9 million a year earlier and up 17.4% from the prior quarter.
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Analysis
Olema Pharmaceuticals (OLMA) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Olema Pharmaceuticals' Research & Development came in at $190.19 million as of Jun 30, 2026, up 35.8% year-over-year; for FY2025, it was $157.7 million, up 26.6% from FY2024.
- Annual Research & Development has increased for six straight years, with a five-year compound annual growth rate of 63.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $124.52 million in FY2024 (+44.6%), $86.14 million in FY2023 (+4.7%), $82.27 million in FY2022 (+61.0%) and $51.1 million in FY2021 (+272.9%).
- The Q2 2026 figure is the highest quarterly Research & Development in data going back to Q1 2020.
- On a year-over-year basis, Research & Development has increased for 12 consecutive quarters, with growth averaging 36.9% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 168.0% in Q3 2021, against a decline of 33.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $49.23 million (Q1 2026), $43.22 million (Q4 2025) and $39.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Olema Pharmaceuticals | 752.96 Mn | 752.96 Mn | - | 57.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.79 Mn |
| Mar 31, 2026 | 49.23 Mn |
| Dec 31, 2025 | 43.22 Mn |
| Sep 30, 2025 | 39.95 Mn |
| Jun 30, 2025 | 43.90 Mn |
| Mar 31, 2025 | 30.62 Mn |
| Dec 31, 2024 | 32.30 Mn |
| Sep 30, 2024 | 33.23 Mn |
| Jun 30, 2024 | 29.11 Mn |
| Mar 31, 2024 | 29.88 Mn |
| Dec 31, 2023 | 25.87 Mn |
| Sep 30, 2023 | 19.45 Mn |
| Jun 30, 2023 | 17.99 Mn |
| Mar 31, 2023 | 22.83 Mn |
| Dec 31, 2022 | 21.58 Mn |
| Sep 30, 2022 | 17.63 Mn |
| Jun 30, 2022 | 27.05 Mn |
| Mar 31, 2022 | 16.01 Mn |
| Dec 31, 2021 | 15.98 Mn |
| Sep 30, 2021 | 12.52 Mn |
API Access
Olema Pharmaceuticals 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=OLMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "OLMA", "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=OLMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();