Biomea Fusion (BMEA) Research & Development (2020 - 2026)
Biomea Fusion (BMEA) recorded Research & Development of $9.14 million in Q2 2026, down 44.8% from $16.57 million a year earlier but up 0.2% from the prior quarter.
Biomea Fusion (BMEA) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Biomea Fusion's Research & Development came in at $40.78 million as of Jun 30, 2026, down 55.7% year-over-year; for FY2025, it was $61.98 million, down 47.5% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 76.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $118.09 million in FY2024 (+15.2%), $102.55 million in FY2023 (+63.5%), $62.71 million in FY2022 (+124.0%) and $28 million in FY2021 (+662.6%).
- Quarterly Research & Development has ranged from $7.89 million in Q3 2021 to $33.78 million in Q1 2024 over the past five years.
- On a year-over-year basis, Research & Development has declined for seven consecutive quarters, with an average decline of 38.9% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 899.5% in Q3 2021, against a decline of 67.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.12 million (Q1 2026), $8.12 million (Q4 2025) and $14.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Biomea Fusion | 53.98 Mn | -128.36 Mn | - | 9.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.14 Mn |
| Mar 31, 2026 | 9.12 Mn |
| Dec 31, 2025 | 8.12 Mn |
| Sep 30, 2025 | 14.40 Mn |
| Jun 30, 2025 | 16.57 Mn |
| Mar 31, 2025 | 22.90 Mn |
| Dec 31, 2024 | 25.24 Mn |
| Sep 30, 2024 | 27.24 Mn |
| Jun 30, 2024 | 31.83 Mn |
| Mar 31, 2024 | 33.78 Mn |
| Dec 31, 2023 | 30.87 Mn |
| Sep 30, 2023 | 25.35 Mn |
| Jun 30, 2023 | 21.94 Mn |
| Mar 31, 2023 | 24.40 Mn |
| Dec 31, 2022 | 20.54 Mn |
| Sep 30, 2022 | 18.24 Mn |
| Jun 30, 2022 | 12.58 Mn |
| Mar 31, 2022 | 11.35 Mn |
| Dec 31, 2021 | 11.09 Mn |
| Sep 30, 2021 | 7.89 Mn |
Biomea Fusion 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=BMEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "BMEA", "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=BMEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();