Editas Medicine (EDIT) Return on Sales [ROS] (2015 - 2026)
Editas Medicine (EDIT) reported Return on Sales [ROS] of -325.44% for Q3 2025, up 107323.74 percentage points from -107649.18% a year earlier and up 1115.14 percentage points from the prior quarter.
Editas Medicine (EDIT) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Editas Medicine's Return on Sales [ROS] came in at -428.71%, down 58.68 percentage points year-over-year; for FY2024, it came in at -777.22%, down 560.67 percentage points from FY2023.
- Return on Sales [ROS] has a five-year change of -90.84 percentage points (FY2019 to FY2024).
- By year, Return on Sales [ROS] came in at -216.56% in FY2023 (+929.70 pp), -1146.26% in FY2022 (-390.13 pp), -756.13% in FY2021 (-607.52 pp) and -148.61% in FY2020 (+537.77 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -136952.38% in Q3 2022 and a high of -39.90% in Q4 2023.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +50.26 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 136012.29 percentage points); the low point was Q3 2022 (a drop of 136318.96 percentage points).
- Per Business Quant data, the three quarters before Q3 2025 came in at -1440.58% (Q2 2025), -1635.10% (Q1 2025) and -152.24% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (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 | Editas Medicine | 385.55 Mn | -286.59 Mn | 8.20 Mn | -234.27% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -234.27% |
| Jun 30, 2026 | -156.05% |
| Mar 31, 2026 | -883.19% |
| Dec 31, 2025 | -31.34% |
| Sep 30, 2025 | -325.44% |
| Jun 30, 2025 | -1,440.58% |
| Mar 31, 2025 | -1,635.10% |
| Dec 31, 2024 | -152.24% |
| Sep 30, 2024 | -107,649.18% |
| Jun 30, 2024 | -14,016.18% |
| Mar 31, 2024 | -5,902.29% |
| Dec 31, 2023 | -39.90% |
| Sep 30, 2023 | -940.09% |
| Jun 30, 2023 | -1,527.33% |
| Mar 31, 2023 | -517.32% |
| Dec 31, 2022 | -970.72% |
| Sep 30, 2022 | -136,952.38% |
| Jun 30, 2022 | -852.47% |
| Mar 31, 2022 | -749.52% |
| Dec 31, 2021 | -333.71% |
Editas Medicine 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=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EDIT", "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=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();