Editas Medicine (EDIT) Operating Expenses (2015 - 2026)
Editas Medicine (EDIT) recorded Operating Expenses of $32.09 million in Q3 2025, down 51.2% from $65.73 million a year earlier and down 41.8% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Editas Medicine's Operating Expenses came in at $245.23 million as of Sep 30, 2025, down 15.5% year-over-year; for FY2024, it came in at $283.47 million, up 14.6% from FY2023.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 11.9% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $247.3 million in FY2023 (+0.7%), $245.66 million in FY2022 (+12.3%), $218.69 million in FY2021 (-3.1%) and $225.57 million in FY2020 (+39.7%).
- The Q3 2025 figure is the lowest quarterly Operating Expenses since Q3 2018.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 5.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 54.1% in Q2 2024, against a decline of 51.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.12 million (Q2 2025), $80.82 million (Q1 2025) and $77.2 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Editas Medicine | 385.55 Mn | -286.59 Mn | 8.20 Mn | 34.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.65 Mn |
| Jun 30, 2026 | 30.44 Mn |
| Mar 31, 2026 | 27.83 Mn |
| Dec 31, 2025 | 32.50 Mn |
| Sep 30, 2025 | 32.09 Mn |
| Jun 30, 2025 | 55.12 Mn |
| Mar 31, 2025 | 80.82 Mn |
| Dec 31, 2024 | 77.20 Mn |
| Sep 30, 2024 | 65.73 Mn |
| Jun 30, 2024 | 72.42 Mn |
| Mar 31, 2024 | 68.13 Mn |
| Dec 31, 2023 | 84.01 Mn |
| Sep 30, 2023 | 55.50 Mn |
| Jun 30, 2023 | 46.98 Mn |
| Mar 31, 2023 | 60.81 Mn |
| Dec 31, 2022 | 69.98 Mn |
| Sep 30, 2022 | 57.56 Mn |
| Jun 30, 2022 | 60.60 Mn |
| Mar 31, 2022 | 57.52 Mn |
| Dec 31, 2021 | 54.08 Mn |
API Access
Editas Medicine Operating Expenses 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=operating-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();