Foghorn Therapeutics (FHTX) Non-Current Assets (2019 - 2026)
Foghorn Therapeutics (FHTX) posted Non-Current Assets of $33.35 million for Q2 2026, up 48.9% from $22.39 million a year earlier but down 2.2% from the prior quarter.
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Analysis
Foghorn Therapeutics (FHTX) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Foghorn Therapeutics' Non-Current Assets came in at $34.87 million, up 1.4% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- In prior years, Foghorn Therapeutics' Non-Current Assets was $34.38 million in FY2024 (-24.8%), $45.74 million in FY2023 (-14.5%), $53.48 million in FY2022 (-11.2%) and $60.21 million in FY2021 (-7.2%).
- Quarterly Non-Current Assets has run from a low of $20.85 million in Q3 2025 to a high of $62.12 million in Q3 2021 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last three quarters, with an average decline of 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2026, with growth of 48.9%; the weakest was Q3 2025, with a decline of 43.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $34.1 million (Q1 2026), $34.87 million (Q4 2025) and $20.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - | 33.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.35 Mn |
| Mar 31, 2026 | 34.10 Mn |
| Dec 31, 2025 | 34.87 Mn |
| Sep 30, 2025 | 20.85 Mn |
| Jun 30, 2025 | 22.39 Mn |
| Mar 31, 2025 | 33.28 Mn |
| Dec 31, 2024 | 34.38 Mn |
| Sep 30, 2024 | 37.14 Mn |
| Jun 30, 2024 | 38.96 Mn |
| Mar 31, 2024 | 43.48 Mn |
| Dec 31, 2023 | 45.74 Mn |
| Sep 30, 2023 | 47.98 Mn |
| Jun 30, 2023 | 49.08 Mn |
| Mar 31, 2023 | 52.18 Mn |
| Dec 31, 2022 | 53.48 Mn |
| Sep 30, 2022 | 56.17 Mn |
| Jun 30, 2022 | 56.83 Mn |
| Mar 31, 2022 | 58.48 Mn |
| Dec 31, 2021 | 60.21 Mn |
| Sep 30, 2021 | 62.12 Mn |
API Access
Foghorn Therapeutics Non-Current 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=non-current-assets&ticker=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();