Foghorn Therapeutics (FHTX) Revenue (2020 - 2026)
Foghorn Therapeutics' Revenue was $16.07 million in Q2 2026, up 112.7% from $7.56 million a year earlier and up 391.9% from the prior quarter.
Powered by 
Analysis
Foghorn Therapeutics (FHTX) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Foghorn Therapeutics' Revenue was $36.74 million through Jun 30, 2026, up 52.0% year-over-year; for FY2025, it came in at $30.91 million, up 36.8% from FY2024.
- Revenue shows a five-year compound annual growth rate of 135.1% (FY2020 to FY2025).
- In earlier years, Revenue was $22.6 million in FY2024 (-33.8%), $34.16 million in FY2023 (+77.6%), $19.23 million in FY2022 and $1.32 million in FY2021 (+206.7%).
- The Q2 2026 figure marks the highest quarterly Revenue since Q3 2023.
- Compared with a year earlier, Revenue was higher in five of the last eight quarters, with growth averaging 27.2%.
- The best year-over-year quarter for Revenue over five years was Q4 2022 (growth of 486.8%); the worst was Q3 2021 (a decline of 77.1%).
- Per Business Quant data, FHTX's Revenue in the three quarters before Q2 2026 was $3.27 million (Q1 2026), $9.25 million (Q4 2025) and $8.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - | 16.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.07 Mn |
| Mar 31, 2026 | 3.27 Mn |
| Dec 31, 2025 | 9.25 Mn |
| Sep 30, 2025 | 8.15 Mn |
| Jun 30, 2025 | 7.56 Mn |
| Mar 31, 2025 | 5.95 Mn |
| Dec 31, 2024 | 2.86 Mn |
| Sep 30, 2024 | 7.81 Mn |
| Jun 30, 2024 | 6.89 Mn |
| Mar 31, 2024 | 5.05 Mn |
| Dec 31, 2023 | 5.77 Mn |
| Sep 30, 2023 | 17.48 Mn |
| Jun 30, 2023 | 5.60 Mn |
| Mar 31, 2023 | 5.31 Mn |
| Dec 31, 2022 | 4.18 Mn |
| Sep 30, 2022 | 6.63 Mn |
| Jun 30, 2022 | 4.49 Mn |
| Mar 31, 2022 | 3.92 Mn |
| Dec 31, 2021 | 713,000.00 |
| Sep 30, 2021 | 41,000.00 |
API Access
Foghorn Therapeutics Revenue 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=revenue&ticker=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();