Biomea Fusion (BMEA) Total Non-Current Liabilities (2024 - 2026)
Biomea Fusion's Total Non-Current Liabilities came in at $10.44 million for Q2 2026, down 56.2% from $23.85 million a year earlier but up 12.6% from the prior quarter.
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Analysis
Biomea Fusion (BMEA) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Biomea Fusion's Total Non-Current Liabilities was $11.23 million, down 60.4% from FY2024.
- Going back by year, Total Non-Current Liabilities was $28.37 million in FY2024.
- The five-year range for quarterly Total Non-Current Liabilities is $9.27 million (Q1 2026) to $28.37 million (Q4 2024).
- Business Quant data shows BMEA's Total Non-Current Liabilities at $9.27 million (Q1 2026), $11.23 million (Q4 2025) and $21.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Biomea Fusion | 39.97 Mn | -121.76 Mn | - | 12.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.77 Mn |
| Jun 30, 2026 | 10.44 Mn |
| Mar 31, 2026 | 9.27 Mn |
| Dec 31, 2025 | 11.23 Mn |
| Sep 30, 2025 | 21.65 Mn |
| Jun 30, 2025 | 23.85 Mn |
| Dec 31, 2024 | 28.37 Mn |
API Access
Biomea Fusion Total Non-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-non-current-liabilities&ticker=BMEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=BMEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();