Editas Medicine (EDIT) Long-Term Debt Repayments (2015 - 2025)
Editas Medicine (EDIT) posted Long-Term Debt Repayments of $2.87 million for Q1 2025.
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Analysis
Editas Medicine (EDIT) Long-Term Debt Repayments (2015 - 2025) Analysis & Trends
For FY2017, Editas Medicine's Long-Term Debt Repayments came in at $600,000.
- In prior years, Editas Medicine's Long-Term Debt Repayments was $2 million in FY2015.
- The Q1 2025 figure stands as the lowest quarterly Long-Term Debt Repayments since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | Editas Medicine | 222.97 Mn | -488.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 2.87 Mn |
| Dec 31, 2018 | 236,000.00 |
| Sep 30, 2018 | 211,000.00 |
| Jun 30, 2018 | 207,000.00 |
| Mar 31, 2018 | 203,000.00 |
| Dec 31, 2017 | 199,000.00 |
| Sep 30, 2017 | 775,000.00 |
| Jun 30, 2017 | -53,000.00 |
| Mar 31, 2017 | 443,000.00 |
| Dec 31, 2015 | 1.93 Mn |
| Sep 30, 2015 | 42,000.00 |
API Access
Editas Medicine Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();