Foghorn Therapeutics (FHTX) Research & Development (2019 - 2026)
Foghorn Therapeutics (FHTX) reported Research & Development of $18.52 million for Q2 2026, down 15.0% from $21.79 million a year earlier but up 1.4% from the prior quarter.
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Analysis
Foghorn Therapeutics (FHTX) Research & Development (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Foghorn Therapeutics' Research & Development came in at $78.83 million, down 11.0% year-over-year; for FY2025, it was $85.47 million, down 9.6% from FY2024.
- Research & Development has a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Research & Development came in at $94.53 million in FY2024 (-13.8%), $109.69 million in FY2023 (+3.9%), $105.62 million in FY2022 (+31.5%) and $80.33 million in FY2021 (+39.2%).
- Five-year quarterly Research & Development spans a low of $18.26 million in Q1 2026 and a high of $29.99 million in Q1 2023.
- Year over year, Research & Development gained in 1 of the last eight quarters, with an average decline of 10.9%.
- The high point for year-over-year Research & Development in five years was Q2 2022 (growth of 39.3%); the low point was Q3 2025 (a decline of 19.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.26 million (Q1 2026), $22.05 million (Q4 2025) and $20 million (Q3 2025).
Peer Set
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 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - | 18.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.52 Mn |
| Mar 31, 2026 | 18.26 Mn |
| Dec 31, 2025 | 22.05 Mn |
| Sep 30, 2025 | 20.00 Mn |
| Jun 30, 2025 | 21.79 Mn |
| Mar 31, 2025 | 21.63 Mn |
| Dec 31, 2024 | 20.51 Mn |
| Sep 30, 2024 | 24.69 Mn |
| Jun 30, 2024 | 23.80 Mn |
| Mar 31, 2024 | 25.53 Mn |
| Dec 31, 2023 | 24.21 Mn |
| Sep 30, 2023 | 26.25 Mn |
| Jun 30, 2023 | 29.25 Mn |
| Mar 31, 2023 | 29.99 Mn |
| Dec 31, 2022 | 28.21 Mn |
| Sep 30, 2022 | 26.93 Mn |
| Jun 30, 2022 | 25.97 Mn |
| Mar 31, 2022 | 24.51 Mn |
| Dec 31, 2021 | 22.46 Mn |
| Sep 30, 2021 | 20.49 Mn |
API Access
Foghorn Therapeutics 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=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "FHTX", "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=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();