Editas Medicine (EDIT) Total Liabilities (2015 - 2025)
Editas Medicine (EDIT) reported Total Liabilities of $159.25 million for Q4 2025, down 23.2% from $207.32 million a year earlier and down 15.4% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Total Liabilities (2015 - 2025) Analysis & Trends
Dating back to Q4 2015, Editas Medicine's Total Liabilities record includes 41 quarters.
- Total Liabilities has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $207.32 million in FY2024 (+38.2%), $150.06 million in FY2023 (-2.3%), $153.64 million in FY2022 (+24.1%) and $123.84 million in FY2021 (-30.8%).
- The Q4 2025 figure ranks as the lowest quarterly Total Liabilities since Q3 2024.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 14.3%.
- The high point for year-over-year Total Liabilities in five years was Q4 2024 (growth of 38.2%); the low point was Q1 2021 (a decline of 38.7%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $188.3 million (Q3 2025), $191.39 million (Q2 2025) and $201.23 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Editas Medicine | 234.09 Mn | -477.66 Mn | - | 159.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 159.25 Mn |
| Sep 30, 2025 | 188.30 Mn |
| Jun 30, 2025 | 191.39 Mn |
| Mar 31, 2025 | 201.23 Mn |
| Dec 31, 2024 | 207.32 Mn |
| Sep 30, 2024 | 151.93 Mn |
| Jun 30, 2024 | 152.79 Mn |
| Mar 31, 2024 | 145.95 Mn |
| Dec 31, 2023 | 150.06 Mn |
| Sep 30, 2023 | 144.19 Mn |
| Jun 30, 2023 | 142.04 Mn |
| Mar 31, 2023 | 146.63 Mn |
| Dec 31, 2022 | 153.64 Mn |
| Sep 30, 2022 | 116.28 Mn |
| Jun 30, 2022 | 115.42 Mn |
| Mar 31, 2022 | 110.35 Mn |
| Dec 31, 2021 | 123.84 Mn |
| Sep 30, 2021 | 130.23 Mn |
| Jun 30, 2021 | 142.52 Mn |
| Mar 31, 2021 | 142.30 Mn |
API Access
Editas Medicine Total Liabilities 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=total-liabilities&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();