Forte Biosciences (FBRX) Assets (2016 - 2026)
Forte Biosciences' Assets was $205.74 million in Q2 2026, up 90.9% from $107.78 million a year earlier and up 206.1% from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Assets at Forte Biosciences came in at $82.78 million, up 34.5% from FY2024.
- Assets shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Assets was $61.56 million in FY2024 (+57.9%), $38.98 million in FY2023 (-7.2%), $42 million in FY2022 (-3.0%) and $43.31 million in FY2021 (-29.3%).
- The Q2 2026 figure marks the highest quarterly Assets in data going back to Q4 2016.
- Compared with a year earlier, Assets has increased for seven straight quarters, with growth averaging 120.6% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q3 2025 (growth of 441.0%); the worst was Q3 2024 (a decline of 62.5%).
- Per Business Quant data, FBRX's Assets in the three quarters before Q2 2026 was $67.22 million (Q1 2026), $82.78 million (Q4 2025) and $97.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | 205.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.74 Mn |
| Mar 31, 2026 | 67.22 Mn |
| Dec 31, 2025 | 82.78 Mn |
| Sep 30, 2025 | 97.09 Mn |
| Jun 30, 2025 | 107.78 Mn |
| Mar 31, 2025 | 47.46 Mn |
| Dec 31, 2024 | 61.56 Mn |
| Sep 30, 2024 | 17.95 Mn |
| Jun 30, 2024 | 26.08 Mn |
| Mar 31, 2024 | 32.02 Mn |
| Dec 31, 2023 | 38.98 Mn |
| Sep 30, 2023 | 47.88 Mn |
| Jun 30, 2023 | 31.18 Mn |
| Mar 31, 2023 | 36.71 Mn |
| Dec 31, 2022 | 42.00 Mn |
| Sep 30, 2022 | 45.13 Mn |
| Jun 30, 2022 | 39.72 Mn |
| Mar 31, 2022 | 41.30 Mn |
| Dec 31, 2021 | 43.31 Mn |
| Sep 30, 2021 | 47.39 Mn |
API Access
Forte Biosciences 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=assets&ticker=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();