Biomea Fusion (BMEA) Total Liabilities (2020 - 2026)
Biomea Fusion's Total Liabilities came in at $24.74 million for Q2 2026, down 45.8% from $45.65 million a year earlier and down 10.6% from the prior quarter.
Biomea Fusion (BMEA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Biomea Fusion's Total Liabilities was $29.02 million, up 2.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $28.37 million in FY2024 (-7.6%), $30.69 million in FY2023 (+47.8%), $20.77 million in FY2022 (+200.0%) and $6.92 million in FY2021 (-87.9%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2023.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 3.1%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 200.0%), and the weakest in Q4 2021 (a decline of 87.9%).
- Business Quant data shows BMEA's Total Liabilities at $27.67 million (Q1 2026), $29.02 million (Q4 2025) and $39.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.87 Bn | 1,099.45 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 614.49 Bn | 533.02 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 502.45 Bn | 475.56 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 368.35 Bn | 322.73 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.42 Bn | 262.41 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.95 Bn | 235.64 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.96 Bn | 191.36 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.17 Bn | 165.37 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Biomea Fusion | 52.03 Mn | -130.31 Mn | - | 24.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.74 Mn |
| Mar 31, 2026 | 27.67 Mn |
| Dec 31, 2025 | 29.02 Mn |
| Sep 30, 2025 | 39.57 Mn |
| Jun 30, 2025 | 45.65 Mn |
| Mar 31, 2025 | 26.32 Mn |
| Dec 31, 2024 | 28.37 Mn |
| Sep 30, 2024 | 34.45 Mn |
| Jun 30, 2024 | 32.22 Mn |
| Mar 31, 2024 | 33.18 Mn |
| Dec 31, 2023 | 30.69 Mn |
| Sep 30, 2023 | 25.48 Mn |
| Jun 30, 2023 | 24.37 Mn |
| Mar 31, 2023 | 29.51 Mn |
| Dec 31, 2022 | 20.77 Mn |
| Sep 30, 2022 | 14.42 Mn |
| Jun 30, 2022 | 11.35 Mn |
| Mar 31, 2022 | 10.10 Mn |
| Dec 31, 2021 | 6.92 Mn |
| Sep 30, 2021 | 8.07 Mn |
Biomea Fusion Total Liabilities 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=total-liabilities&ticker=BMEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BMEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();