Editas Medicine (EDIT) Total Non-Current Liabilities (2014 - 2026)
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 (2014 - 2026) 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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Editas Medicine | 385.55 Mn | -286.59 Mn | 8.20 Mn | 132.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 132.34 Mn |
| Jun 30, 2026 | 129.67 Mn |
| Mar 31, 2026 | 142.06 Mn |
| 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 |
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();