Editas Medicine (EDIT) Return on Sales [ROS] (2015 - 2025)
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 - 2025) 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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 37.40% |
| 10 | Editas Medicine | 239.69 Mn | -472.07 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -633.42% |
| Jun 30, 2021 | -14,617.68% |
| Mar 31, 2021 | -875.26% |
| Dec 31, 2020 | -576.86% |
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();