Editas Medicine (EDIT) Change in Accured Expenses (2015 - 2025)
Editas Medicine's Change in Accured Expenses came in at -$543,000 for Q3 2025, compared with $1.02 million a year earlier.
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Analysis
Editas Medicine (EDIT) Change in Accured Expenses (2015 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Editas Medicine reported Change in Accured Expenses of $18.87 million; for FY2024, it was $11.62 million, up 182.5% from FY2023.
- Change in Accured Expenses carries a five-year compound annual growth rate of 4.1% (FY2019 to FY2024).
- Going back by year, Change in Accured Expenses was $4.11 million in FY2023 (-60.8%), $10.51 million in FY2022, -$4.17 million in FY2021 and $1.71 million in FY2020 (-82.0%).
- The Q3 2025 figure represents the lowest quarterly Change in Accured Expenses since Q2 2024.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2024 (growth of 319.0%), and the weakest in Q4 2020 (a decline of 70.7%).
- Business Quant data shows EDIT's Change in Accured Expenses at $578,000 (Q2 2025), $1.69 million (Q1 2025) and $17.15 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.20 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -251.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 901.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 338.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 222.50 Mn |
| 10 | Editas Medicine | 239.69 Mn | -472.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -543,000.00 |
| Jun 30, 2025 | 578,000.00 |
| Mar 31, 2025 | 1.69 Mn |
| Dec 31, 2024 | 17.15 Mn |
| Sep 30, 2024 | 1.02 Mn |
| Jun 30, 2024 | -3.84 Mn |
| Mar 31, 2024 | -2.69 Mn |
| Dec 31, 2023 | 4.09 Mn |
| Sep 30, 2023 | 2.38 Mn |
| Jun 30, 2023 | -3.79 Mn |
| Mar 31, 2023 | 1.43 Mn |
| Dec 31, 2022 | 10.99 Mn |
| Sep 30, 2022 | -887,000.00 |
| Jun 30, 2022 | 4.38 Mn |
| Mar 31, 2022 | -3.98 Mn |
| Dec 31, 2021 | 5.27 Mn |
| Sep 30, 2021 | -3.42 Mn |
| Jun 30, 2021 | 3.55 Mn |
| Mar 31, 2021 | -9.56 Mn |
| Dec 31, 2020 | 4.10 Mn |
API Access
Editas Medicine Change in Accured 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=change-in-accured-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();