Foghorn Therapeutics (FHTX) Operating Leases (2019 - 2026)
Foghorn Therapeutics (FHTX) reported Operating Leases of $40.28 million for Q2 2026, up 129.9% from $17.52 million a year earlier and up 0.4% from the prior quarter.
Foghorn Therapeutics (FHTX) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Foghorn Therapeutics posted Operating Leases of $40.35 million, up 43.8% from FY2024.
- Operating Leases has a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- By year, Operating Leases came in at $28.06 million in FY2024 (-23.2%), $36.56 million in FY2023 (-19.7%), $45.54 million in FY2022 (-11.3%) and $51.34 million in FY2021 (-12.0%).
- Five-year quarterly Operating Leases spans a low of $15.77 million in Q3 2025 and a high of $53.02 million in Q3 2021.
- Year over year, Operating Leases has now increased in each of the last three quarters, with growth averaging 9.3% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was Q2 2026 (growth of 129.9%); the low point was Q3 2025 (a decline of 47.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $40.13 million (Q1 2026), $40.35 million (Q4 2025) and $15.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.28 Mn |
| Mar 31, 2026 | 40.13 Mn |
| Dec 31, 2025 | 40.35 Mn |
| Sep 30, 2025 | 15.77 Mn |
| Jun 30, 2025 | 17.52 Mn |
| Mar 31, 2025 | 25.74 Mn |
| Dec 31, 2024 | 28.06 Mn |
| Sep 30, 2024 | 30.30 Mn |
| Jun 30, 2024 | 28.06 Mn |
| Mar 31, 2024 | 34.31 Mn |
| Dec 31, 2023 | 36.56 Mn |
| Sep 30, 2023 | 38.71 Mn |
| Jun 30, 2023 | 40.27 Mn |
| Mar 31, 2023 | 43.49 Mn |
| Dec 31, 2022 | 45.54 Mn |
| Sep 30, 2022 | 46.50 Mn |
| Jun 30, 2022 | 49.14 Mn |
| Mar 31, 2022 | 50.48 Mn |
| Dec 31, 2021 | 51.34 Mn |
| Sep 30, 2021 | 53.02 Mn |
Foghorn Therapeutics Operating Leases 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=operating-leases&ticker=FHTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();