Biomea Fusion (BMEA) Total Current Liabilities (2020 - 2026)
Biomea Fusion (BMEA) reported Total Current Liabilities of $10.48 million for Q2 2026, down 40.3% from $17.57 million a year earlier but up 12.8% from the prior quarter.
Biomea Fusion (BMEA) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Biomea Fusion posted Total Current Liabilities of $11.1 million, down 48.8% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 47.0% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $21.67 million in FY2024 (-5.2%), $22.86 million in FY2023 (+19.7%), $19.1 million in FY2022 (+311.9%) and $4.64 million in FY2021 (+186.4%).
- Five-year quarterly Total Current Liabilities spans a low of $4.64 million in Q4 2021 and a high of $27.57 million in Q3 2024.
- Year over year, Total Current Liabilities has now declined in each of the last seven quarters, with an average decline of 21.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2022 (growth of 311.9%); the low point was Q1 2026 (a decline of 53.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.29 million (Q1 2026), $11.1 million (Q4 2025) and $15.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Biomea Fusion | 39.97 Mn | -121.76 Mn | - | 12.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.77 Mn |
| Jun 30, 2026 | 10.48 Mn |
| Mar 31, 2026 | 9.29 Mn |
| Dec 31, 2025 | 11.10 Mn |
| Sep 30, 2025 | 15.57 Mn |
| Jun 30, 2025 | 17.57 Mn |
| Mar 31, 2025 | 19.82 Mn |
| Dec 31, 2024 | 21.67 Mn |
| Sep 30, 2024 | 27.57 Mn |
| Jun 30, 2024 | 25.16 Mn |
| Mar 31, 2024 | 25.25 Mn |
| Dec 31, 2023 | 22.86 Mn |
| Sep 30, 2023 | 16.21 Mn |
| Jun 30, 2023 | 14.36 Mn |
| Mar 31, 2023 | 18.77 Mn |
| Dec 31, 2022 | 19.10 Mn |
| Sep 30, 2022 | 12.59 Mn |
| Jun 30, 2022 | 9.36 Mn |
| Mar 31, 2022 | 7.96 Mn |
| Dec 31, 2021 | 4.64 Mn |
Biomea Fusion Total Current 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-current-liabilities&ticker=BMEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=BMEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();