Foghorn Therapeutics (FHTX) Return on Assets [ROA] (2020 - 2026)
Foghorn Therapeutics' Return on Assets [ROA] came in at -30.86% for Q2 2026, up 1.16 percentage points from -32.02% a year earlier and up 5.90 percentage points from the prior quarter.
Foghorn Therapeutics (FHTX) Return on Assets [ROA] (2020 - 2026) Analysis & Trends
For FY2025, Foghorn Therapeutics' Return on Assets [ROA] was -32.21%, down 1.81 percentage points from FY2024.
- Return on Assets [ROA] has declined in each of the last three years, though with a five-year change of +17.81 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -30.40% in FY2024 (-1.90 pp), -28.50% in FY2023 (-4.95 pp), -23.55% in FY2022 (+2.91 pp) and -26.46% in FY2021 (+23.56 pp).
- The Q2 2026 figure represents the highest quarterly Return on Assets [ROA] since Q1 2025.
- Year-over-year, Return on Assets [ROA] increased in four of the last eight quarters, with an average year-over-year change of -1.56 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q3 2022 (a gain of 23.91 percentage points), and the weakest in Q4 2025 (a drop of 9.28 percentage points).
- Business Quant data shows FHTX's Return on Assets [ROA] at -36.76% (Q1 2026), -38.53% (Q4 2025) and -34.78% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.87% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 9.80% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 2.00% |
| 10 | Foghorn Therapeutics | 113.93 Mn | -202.99 Mn | - | 4.70% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.70% |
| Jun 30, 2026 | -30.39% |
| Mar 31, 2026 | -35.92% |
| Dec 31, 2025 | -36.91% |
| Sep 30, 2025 | -33.61% |
| Jun 30, 2025 | -30.97% |
| Mar 31, 2025 | -29.46% |
| Dec 31, 2024 | -28.92% |
| Sep 30, 2024 | -27.94% |
| Jun 30, 2024 | -28.81% |
| Mar 31, 2024 | -33.49% |
| Dec 31, 2023 | -31.79% |
| Sep 30, 2023 | -30.70% |
| Jun 30, 2023 | -32.05% |
| Mar 31, 2023 | -29.35% |
| Dec 31, 2022 | -26.91% |
| Sep 30, 2022 | -25.59% |
| Jun 30, 2022 | -23.83% |
| Mar 31, 2022 | -21.12% |
| Dec 31, 2021 | -28.71% |
Foghorn Therapeutics Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=FHTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();