Foghorn Therapeutics (FHTX) EBITDA Margin (2020 - 2026)
Foghorn Therapeutics (FHTX) reported EBITDA Margin of -53.54% for Q2 2026, up 213.72 percentage points from -267.26% a year earlier and up 599.51 percentage points from the prior quarter.
Foghorn Therapeutics (FHTX) EBITDA Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Foghorn Therapeutics' EBITDA Margin came in at -192.21%, up 174.81 percentage points year-over-year; for FY2025, it came in at -268.71%, up 171.79 percentage points from FY2024.
- EBITDA Margin has a five-year change of +15360.12 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at -440.51% in FY2024 (-134.82 pp), -305.68% in FY2023 (+286.25 pp), -591.93% in FY2022 (+6800.57 pp) and -7392.49% in FY2021 (+8236.34 pp).
- The Q2 2026 figure ranks as the highest quarterly EBITDA Margin in data going back to Q3 2020.
- Year over year, EBITDA Margin gained in five of the last eight quarters, with an average year-over-year change of +32.88 percentage points.
- The high point for year-over-year EBITDA Margin in five years was Q3 2022 (a gain of 61687.59 percentage points); the low point was Q3 2021 (a drop of 51938.55 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -653.05% (Q1 2026), -249.55% (Q4 2025) and -215.88% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 35.95% |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 49.01% |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 6.02% |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 33.11% |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 46.01% |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -124.26% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 39.16% |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 39.10% |
| 10 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - | -53.54% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53.54% |
| Mar 31, 2026 | -653.05% |
| Dec 31, 2025 | -249.55% |
| Sep 30, 2025 | -215.88% |
| Jun 30, 2025 | -267.26% |
| Mar 31, 2025 | -371.07% |
| Dec 31, 2024 | -815.30% |
| Sep 30, 2024 | -296.52% |
| Jun 30, 2024 | -375.03% |
| Mar 31, 2024 | -541.76% |
| Dec 31, 2023 | -425.69% |
| Sep 30, 2023 | -92.58% |
| Jun 30, 2023 | -558.14% |
| Mar 31, 2023 | -610.60% |
| Dec 31, 2022 | -742.47% |
| Sep 30, 2022 | -412.41% |
| Jun 30, 2022 | -632.25% |
| Mar 31, 2022 | -688.60% |
| Dec 31, 2021 | -3,824.96% |
| Sep 30, 2021 | -62,100.00% |
Foghorn Therapeutics EBITDA 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=ebitda-margin&ticker=FHTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();