Foghorn Therapeutics (FHTX) Operating Margin (2020 - 2026)
Foghorn Therapeutics' Operating Margin came in at -54.78% for Q2 2026, up 224.39 percentage points from -279.17% a year earlier and up 605.55 percentage points from the prior quarter.
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Analysis
Foghorn Therapeutics (FHTX) Operating Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Foghorn Therapeutics reported Operating Margin of -198.04%, up 182.00 percentage points year-over-year; for FY2025, it came in at -279.49%, up 174.81 percentage points from FY2024.
- Operating Margin carries a five-year change of +15657.95 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was -454.31% in FY2024 (-138.38 pp), -315.93% in FY2023 (+293.27 pp), -609.20% in FY2022 (+7027.95 pp) and -7637.15% in FY2021 (+8300.29 pp).
- The Q2 2026 figure represents the highest quarterly Operating Margin in data going back to Q3 2020.
- Year-over-year, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of +35.46 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in Q3 2022 (a gain of 63625.25 percentage points), and the weakest in Q3 2021 (a drop of 53722.17 percentage points).
- Business Quant data shows FHTX's Operating Margin at -660.33% (Q1 2026), -258.22% (Q4 2025) and -226.92% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Foghorn Therapeutics | 113.93 Mn | -202.99 Mn | - | 67.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67.80% |
| Jun 30, 2026 | -54.78% |
| Mar 31, 2026 | -660.33% |
| Dec 31, 2025 | -258.22% |
| Sep 30, 2025 | -226.92% |
| Jun 30, 2025 | -279.17% |
| Mar 31, 2025 | -384.96% |
| Dec 31, 2024 | -840.51% |
| Sep 30, 2024 | -305.48% |
| Jun 30, 2024 | -386.64% |
| Mar 31, 2024 | -558.30% |
| Dec 31, 2023 | -441.29% |
| Sep 30, 2023 | -97.73% |
| Jun 30, 2023 | -572.42% |
| Mar 31, 2023 | -627.56% |
| Dec 31, 2022 | -762.09% |
| Sep 30, 2022 | -425.97% |
| Jun 30, 2022 | -650.07% |
| Mar 31, 2022 | -709.29% |
| Dec 31, 2021 | -3,938.57% |
API Access
Foghorn Therapeutics Operating Margin 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-margin&ticker=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();