Editas Medicine (EDIT) Accumulated Expenses (2015 - 2025)
Editas Medicine (EDIT) recorded Accumulated Expenses of $32.61 million in Q4 2025, down 28.9% from $45.86 million a year earlier and down 31.4% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Accumulated Expenses (2015 - 2025) Analysis & Trends
Starting with Q4 2015, Editas Medicine's Accumulated Expenses history includes 41 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $45.86 million in FY2024 (+32.7%), $34.56 million in FY2023 (+10.4%), $31.3 million in FY2022 (+55.0%) and $20.19 million in FY2021 (-16.0%).
- The Q4 2025 figure is the lowest quarterly Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with growth averaging 23.4%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 99.9% in Q1 2023, against a decline of 28.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $47.52 million (Q3 2025), $48.07 million (Q2 2025) and $47.49 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Editas Medicine | 239.69 Mn | -472.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 32.61 Mn |
| Sep 30, 2025 | 47.52 Mn |
| Jun 30, 2025 | 48.07 Mn |
| Mar 31, 2025 | 47.49 Mn |
| Dec 31, 2024 | 45.86 Mn |
| Sep 30, 2024 | 28.79 Mn |
| Jun 30, 2024 | 27.67 Mn |
| Mar 31, 2024 | 31.48 Mn |
| Dec 31, 2023 | 34.56 Mn |
| Sep 30, 2023 | 30.28 Mn |
| Jun 30, 2023 | 27.90 Mn |
| Mar 31, 2023 | 31.56 Mn |
| Dec 31, 2022 | 31.30 Mn |
| Sep 30, 2022 | 19.26 Mn |
| Jun 30, 2022 | 20.11 Mn |
| Mar 31, 2022 | 15.79 Mn |
| Dec 31, 2021 | 20.19 Mn |
| Sep 30, 2021 | 14.58 Mn |
| Jun 30, 2021 | 18.63 Mn |
| Mar 31, 2021 | 15.13 Mn |
API Access
Editas Medicine Accumulated 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=accumulated-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();