Biomea Fusion (BMEA) Accumulated Expenses (2020 - 2026)
Biomea Fusion's (BMEA) quarterly Accumulated Expenses came in at $6.3 million in Q2 2026, down 25.31% year-over-year from $8.4 million in Q2 2025, and up 83.03% quarter-over-quarter from $3.4 million in Q1 2026.
Biomea Fusion (BMEA) Accumulated Expenses (2020 - 2026) Analysis & Trends
Biomea Fusion has disclosed Accumulated Expenses across 7 years of filings, most recently posting $6.3 million for Q2 2026.
- In Q2 2026, Accumulated Expenses fell 25.31% year-over-year to $6.3 million; the TTM figure through Jun 2026 stood at $6.3 million (down 25.31% YoY), while the FY2025 annual figure was $6.4 million, down 3.83% from the prior year.
- Accumulated Expenses came in at $6.3 million for Q2 2026 at Biomea Fusion, up from $3.4 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $17.4 million in Q1 2024 to a low of $3.4 million in Q1 2026.
- Average Accumulated Expenses over 5 years is $9.7 million, with a median of $9.3 million recorded in 2023.
- Year-over-year, Accumulated Expenses jumped 324.97% in 2022 and sank 67.78% in 2026.
- Over 5 years, Accumulated Expenses stood at $11.7 million in 2022, then increased by 16.18% to $13.5 million in 2023, then plunged by 50.81% to $6.7 million in 2024, then slipped by 3.83% to $6.4 million in 2025, then decreased by 1.67% to $6.3 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $6.3 million in Q2 2026, $3.4 million in Q1 2026, and $6.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 650.65 Bn | 629.89 Bn | 17.26 Bn |
| 2 | AbbVie | 466.34 Bn | 459.82 Bn | 12.70 Bn |
| 3 | Merck | 362.11 Bn | 355.02 Bn | 12.21 Bn |
| 4 | Novartis Ag | 267.81 Bn | 260.52 Bn | 11.24 Bn |
| 5 | Pfizer | 157.31 Bn | 145.91 Bn | 10.94 Bn |
| 6 | Bristol Myers Squibb | 128.75 Bn | 117.69 Bn | 9.25 Bn |
| 7 | Sanofi | 51.80 Bn | 44.84 Bn | 10.79 Bn |
| 8 | Revolution Medicines | 40.91 Bn | 40.91 Bn | - |
| 9 | BeOne Medicines | 39.65 Bn | 34.55 Bn | 1.53 Bn |
| 10 | Biomea Fusion | 132.65 Mn | 132.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.30 Mn |
| Mar 31, 2026 | 3.44 Mn |
| Dec 31, 2025 | 6.41 Mn |
| Sep 30, 2025 | 8.38 Mn |
| Jun 30, 2025 | 8.44 Mn |
| Mar 31, 2025 | 10.68 Mn |
| Dec 31, 2024 | 6.66 Mn |
| Sep 30, 2024 | 15.89 Mn |
| Jun 30, 2024 | 16.05 Mn |
| Mar 31, 2024 | 17.38 Mn |
| Dec 31, 2023 | 13.54 Mn |
| Sep 30, 2023 | 10.19 Mn |
| Jun 30, 2023 | 7.49 Mn |
| Mar 31, 2023 | 10.83 Mn |
| Dec 31, 2022 | 11.66 Mn |
| Sep 30, 2022 | 10.39 Mn |
| Jun 30, 2022 | 6.36 Mn |
| Mar 31, 2022 | 4.86 Mn |
| Dec 31, 2021 | 2.74 Mn |
| Sep 30, 2021 | 3.84 Mn |
Biomea Fusion Accumulated Expenses 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=accumulated-expenses&ticker=BMEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BMEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();