Forte Biosciences (FBRX) Total Non-Current Liabilities (2018 - 2026)
Forte Biosciences' Total Non-Current Liabilities came in at $20.29 million for Q2 2026, down 14.2% from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Forte Biosciences' Total Non-Current Liabilities was $20.75 million.
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | 20.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.29 Mn |
| Mar 31, 2026 | 23.65 Mn |
| Dec 31, 2025 | 20.75 Mn |
| Dec 31, 2019 | 12.35 Mn |
| Sep 30, 2019 | 73.90 Mn |
| Mar 31, 2019 | 94.35 Mn |
| Dec 31, 2018 | 101.62 Mn |
| Sep 30, 2018 | 40.66 Mn |
| Jun 30, 2018 | 39.70 Mn |
| Mar 31, 2018 | 18.90 Mn |
API Access
Forte Biosciences 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=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FBRX", "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=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();