Forte Biosciences (FBRX) Research & Development (2016 - 2026)
Forte Biosciences (FBRX) posted Research & Development of $22.19 million for Q2 2026, up 162.0% from $8.47 million a year earlier and up 9.2% from the prior quarter.
Forte Biosciences (FBRX) Research & Development (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Forte Biosciences was $79.14 million, up 148.8% year-over-year; for FY2025, it came in at $57.65 million, up 178.3% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 41.9% (FY2020 to FY2025).
- In prior years, Forte Biosciences' Research & Development was $20.71 million in FY2024 (-5.3%), $21.86 million in FY2023 (+290.8%), $5.59 million in FY2022 (-59.6%) and $13.85 million in FY2021 (+38.5%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q1 2016.
- On a year-over-year basis, Research & Development has increased in each of the last seven quarters, with growth averaging 123.2% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2023, with growth of 590.8%; the weakest was Q1 2022, with a decline of 79.1%.
- According to Business Quant data, Research & Development for the three prior quarters was $20.32 million (Q1 2026), $21.59 million (Q4 2025) and $15.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | 22.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.19 Mn |
| Mar 31, 2026 | 20.32 Mn |
| Dec 31, 2025 | 21.59 Mn |
| Sep 30, 2025 | 15.05 Mn |
| Jun 30, 2025 | 8.47 Mn |
| Mar 31, 2025 | 12.54 Mn |
| Dec 31, 2024 | 5.08 Mn |
| Sep 30, 2024 | 5.72 Mn |
| Jun 30, 2024 | 5.59 Mn |
| Mar 31, 2024 | 4.32 Mn |
| Dec 31, 2023 | 3.57 Mn |
| Sep 30, 2023 | 6.37 Mn |
| Jun 30, 2023 | 7.14 Mn |
| Mar 31, 2023 | 4.79 Mn |
| Dec 31, 2022 | 2.49 Mn |
| Sep 30, 2022 | 1.38 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 693,000.00 |
| Dec 31, 2021 | 1.35 Mn |
| Sep 30, 2021 | 5.66 Mn |
Forte Biosciences Research & Development 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=research-and-development&ticker=FBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();