Editas Medicine (EDIT) Selling, General & Administrative (2015 - 2025)
Editas Medicine's Selling, General & Administrative was $12.32 million in Q3 2025, down 31.9% from $18.09 million a year earlier and down 4.2% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Selling, General & Administrative (2015 - 2025) Analysis & Trends
On a trailing twelve-month basis, Editas Medicine's Selling, General & Administrative was $54.9 million through Sep 30, 2025, down 21.7% year-over-year; for FY2024, it was $71.99 million, up 3.4% from FY2023.
- Selling, General & Administrative shows a five-year compound annual growth rate of 2.2% (FY2019 to FY2024).
- In earlier years, Selling, General & Administrative was $69.65 million in FY2023 (-1.5%), $70.7 million in FY2022 (-7.2%), $76.18 million in FY2021 (+12.7%) and $67.58 million in FY2020 (+4.7%).
- The Q3 2025 figure marks the lowest quarterly Selling, General & Administrative since Q2 2017.
- Compared with a year earlier, Selling, General & Administrative has declined for three straight quarters, with an average decline of 11.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2021 (growth of 56.4%); the worst was Q3 2025 (a decline of 31.9%).
- Per Business Quant data, EDIT's Selling, General & Administrative in the three quarters before Q3 2025 was $12.86 million (Q2 2025), $13.38 million (Q1 2025) and $16.35 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Editas Medicine | 222.97 Mn | -488.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 12.32 Mn |
| Jun 30, 2025 | 12.86 Mn |
| Mar 31, 2025 | 13.38 Mn |
| Dec 31, 2024 | 16.35 Mn |
| Sep 30, 2024 | 18.09 Mn |
| Jun 30, 2024 | 18.21 Mn |
| Mar 31, 2024 | 19.34 Mn |
| Dec 31, 2023 | 14.46 Mn |
| Sep 30, 2023 | 14.99 Mn |
| Jun 30, 2023 | 17.20 Mn |
| Mar 31, 2023 | 23.01 Mn |
| Dec 31, 2022 | 17.98 Mn |
| Sep 30, 2022 | 16.24 Mn |
| Jun 30, 2022 | 16.94 Mn |
| Mar 31, 2022 | 19.55 Mn |
| Dec 31, 2021 | 16.53 Mn |
| Sep 30, 2021 | 16.19 Mn |
| Jun 30, 2021 | 22.03 Mn |
| Mar 31, 2021 | 21.45 Mn |
| Dec 31, 2020 | 15.79 Mn |
API Access
Editas Medicine Selling, General & Administrative 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=selling-general-and-administrative&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();