Editas Medicine (EDIT) Non-Current Debt (2016 - 2025)
Editas Medicine (EDIT) posted Non-Current Debt of $53.61 million for Q4 2025, up 2.2% from $52.43 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Non-Current Debt (2016 - 2025) Analysis & Trends
Since Q4 2024, Editas Medicine has reported Non-Current Debt for 5 quarters.
- In prior years, Editas Medicine's Non-Current Debt was $52.43 million in FY2024.
- Quarterly Non-Current Debt has run from a low of $49.58 million in Q1 2025 to a high of $54.07 million in Q3 2025 over five years.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $54.07 million (Q3 2025), $51.67 million (Q2 2025) and $49.58 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 35.80 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Editas Medicine | 222.97 Mn | -488.78 Mn | - | 53.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 53.61 Mn |
| Sep 30, 2025 | 54.07 Mn |
| Jun 30, 2025 | 51.67 Mn |
| Mar 31, 2025 | 49.58 Mn |
| Dec 31, 2024 | 52.43 Mn |
| Dec 31, 2017 | 7.50 Mn |
| Jun 30, 2017 | 15.00 Mn |
| Mar 31, 2017 | 15.00 Mn |
| Dec 31, 2016 | 10.00 Mn |
API Access
Editas Medicine Non-Current Debt 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=non-current-debt&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();