Biomea Fusion (BMEA) Non-Current Assets (2020 - 2026)
Biomea Fusion (BMEA) posted Non-Current Assets of $445,000 for Q2 2026, down 94.8% from $8.5 million a year earlier but up 564.2% from the prior quarter.
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Analysis
Biomea Fusion (BMEA) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Biomea Fusion's Non-Current Assets came in at $522,000, down 95.5% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, Biomea Fusion's Non-Current Assets was $11.61 million in FY2024 (-44.1%), $20.75 million in FY2023 (+80.6%), $11.49 million in FY2022 (+25.6%) and $9.14 million in FY2021.
- Quarterly Non-Current Assets has run from a low of $67,000 in Q1 2026 to a high of $23.71 million in Q1 2023 over five years.
- On a year-over-year basis, Non-Current Assets has declined in each of the last ten quarters, with an average decline of 66.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2023, with growth of 264.9%; the weakest was Q1 2026, with a decline of 99.4%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $67,000 (Q1 2026), $522,000 (Q4 2025) and $5.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Biomea Fusion | 53.98 Mn | -128.36 Mn | - | 445,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 445,000.00 |
| Mar 31, 2026 | 67,000.00 |
| Dec 31, 2025 | 522,000.00 |
| Sep 30, 2025 | 5.75 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Mar 31, 2025 | 10.37 Mn |
| Dec 31, 2024 | 11.61 Mn |
| Sep 30, 2024 | 16.82 Mn |
| Jun 30, 2024 | 19.88 Mn |
| Mar 31, 2024 | 20.93 Mn |
| Dec 31, 2023 | 20.75 Mn |
| Sep 30, 2023 | 22.58 Mn |
| Jun 30, 2023 | 22.74 Mn |
| Mar 31, 2023 | 23.71 Mn |
| Dec 31, 2022 | 11.49 Mn |
| Sep 30, 2022 | 6.19 Mn |
| Jun 30, 2022 | 7.60 Mn |
| Mar 31, 2022 | 7.84 Mn |
| Dec 31, 2021 | 9.14 Mn |
| Sep 30, 2021 | 8.30 Mn |
API Access
Biomea Fusion Non-Current Assets 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=non-current-assets&ticker=BMEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BMEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();