Foghorn Therapeutics (FHTX) Return on Sales [ROS] (2020 - 2026)
Foghorn Therapeutics (FHTX) reported Return on Sales [ROS] of -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.
Foghorn Therapeutics (FHTX) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Foghorn Therapeutics' Return on Sales [ROS] came in at -198.04%, up 182.00 percentage points year-over-year; for FY2025, it was -279.49%, up 174.81 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +15657.95 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -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 ranks as the highest quarterly Return on Sales [ROS] in data going back to Q3 2020.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +35.46 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 63625.25 percentage points); the low point was Q3 2021 (a drop of 53722.17 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -660.33% (Q1 2026), -258.22% (Q4 2025) and -226.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Foghorn Therapeutics | 171.45 Mn | -154.51 Mn | - | -54.78% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -64,051.22% |
Foghorn Therapeutics Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();