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 | 1,131.65 Bn | 1,100.24 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 615.89 Bn | 534.41 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 505.03 Bn | 478.14 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 368.78 Bn | 323.16 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.66 Bn | 262.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 262.09 Bn | 235.78 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.57 Bn | 191.97 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.05 Bn | 165.25 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.60 Bn | 117.25 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Biomea Fusion | 53.33 Mn | -129.01 Mn | - | 10.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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();