Foghorn Therapeutics (FHTX) Assets (2019 - 2026)
Foghorn Therapeutics (FHTX) posted Assets of $203.39 million for Q2 2026, down 10.1% from $226.24 million a year earlier and down 8.5% from the prior quarter.
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Analysis
Foghorn Therapeutics (FHTX) Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Foghorn Therapeutics' Assets came in at $198.1 million, down 30.2% from FY2024.
- Annual Assets has declined for four consecutive years, with a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In prior years, Foghorn Therapeutics' Assets was $283.98 million in FY2024 (-0.7%), $285.92 million in FY2023 (-29.4%), $404.88 million in FY2022 (-22.1%) and $519.77 million in FY2021 (+103.4%).
- Quarterly Assets has run from a low of $186.07 million in Q3 2021 to a high of $519.77 million in Q4 2021 over five years.
- On a year-over-year basis, Assets has declined in each of the last five quarters, with an average decline of 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2022, with growth of 133.2%; the weakest was Q3 2025, with a decline of 33.5%.
- According to Business Quant data, Assets for the three prior quarters was $222.17 million (Q1 2026), $198.1 million (Q4 2025) and $204.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - | 203.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.39 Mn |
| Mar 31, 2026 | 222.17 Mn |
| Dec 31, 2025 | 198.10 Mn |
| Sep 30, 2025 | 204.96 Mn |
| Jun 30, 2025 | 226.24 Mn |
| Mar 31, 2025 | 258.69 Mn |
| Dec 31, 2024 | 283.98 Mn |
| Sep 30, 2024 | 308.37 Mn |
| Jun 30, 2024 | 328.59 Mn |
| Mar 31, 2024 | 255.00 Mn |
| Dec 31, 2023 | 285.92 Mn |
| Sep 30, 2023 | 313.42 Mn |
| Jun 30, 2023 | 339.58 Mn |
| Mar 31, 2023 | 372.88 Mn |
| Dec 31, 2022 | 404.88 Mn |
| Sep 30, 2022 | 433.93 Mn |
| Jun 30, 2022 | 456.90 Mn |
| Mar 31, 2022 | 488.31 Mn |
| Dec 31, 2021 | 519.77 Mn |
| Sep 30, 2021 | 186.07 Mn |
API Access
Foghorn Therapeutics 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=assets&ticker=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();