Editas Medicine (EDIT) Total Non-Current Liabilities (2015 - 2025)
Editas Medicine (EDIT) reported Total Non-Current Liabilities of $156.43 million for Q4 2025, down 23.4% from $204.24 million a year earlier and down 14.8% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Total Non-Current Liabilities (2015 - 2025) Analysis & Trends
Dating back to Q4 2015, Editas Medicine's Total Non-Current Liabilities record includes 29 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $204.24 million in FY2024 (+37.8%), $148.26 million in FY2023 (-3.5%) and $153.64 million in FY2022.
- The Q4 2025 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2024.
- Year over year, Total Non-Current Liabilities gained in four of the last five quarters, with growth averaging 20.0%.
- Per Business Quant data, the three quarters before Q4 2025 came in at $183.61 million (Q3 2025), $186.8 million (Q2 2025) and $194.87 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Editas Medicine | 234.09 Mn | -477.66 Mn | - | 156.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 156.43 Mn |
| Sep 30, 2025 | 183.61 Mn |
| Jun 30, 2025 | 186.80 Mn |
| Mar 31, 2025 | 194.87 Mn |
| Dec 31, 2024 | 204.24 Mn |
| Sep 30, 2024 | 148.65 Mn |
| Jun 30, 2024 | 149.02 Mn |
| Mar 31, 2024 | 142.47 Mn |
| Dec 31, 2023 | 148.26 Mn |
| Dec 31, 2022 | 153.64 Mn |
| Dec 31, 2020 | 151.52 Mn |
| Mar 31, 2020 | 232.17 Mn |
| Dec 31, 2019 | 246.45 Mn |
| Sep 30, 2019 | 162.37 Mn |
| Jun 30, 2019 | 162.56 Mn |
| Mar 31, 2019 | 161.75 Mn |
| Dec 31, 2018 | 183.93 Mn |
| Sep 30, 2018 | 162.88 Mn |
| Jun 30, 2018 | 161.90 Mn |
| Mar 31, 2018 | 156.16 Mn |
API Access
Editas Medicine Total Non-Current 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-non-current-liabilities&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();