Editas Medicine (EDIT) Total Current Liabilities (2014 - 2026)
Editas Medicine (EDIT) posted Total Current Liabilities of $46.25 million for Q4 2025, down 40.1% from $77.23 million a year earlier and down 25.1% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Total Current Liabilities (2014 - 2026) Analysis & Trends
Since Q4 2015, Editas Medicine has reported Total Current Liabilities for 41 quarters.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In prior years, Editas Medicine's Total Current Liabilities was $77.23 million in FY2024 (+22.2%), $63.22 million in FY2023 (+5.2%), $60.11 million in FY2022 (+28.2%) and $46.88 million in FY2021 (-19.5%).
- The Q4 2025 figure stands as the lowest quarterly Total Current Liabilities since Q3 2022.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last three quarters, with growth averaging 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 56.6%; the weakest was Q2 2022, with a decline of 44.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $61.77 million (Q3 2025), $65.94 million (Q2 2025) and $73.11 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Editas Medicine | 385.55 Mn | -286.59 Mn | 8.20 Mn | 71.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 71.58 Mn |
| Jun 30, 2026 | 68.43 Mn |
| Mar 31, 2026 | 39.78 Mn |
| Dec 31, 2025 | 46.25 Mn |
| Sep 30, 2025 | 61.77 Mn |
| Jun 30, 2025 | 65.94 Mn |
| Mar 31, 2025 | 73.11 Mn |
| Dec 31, 2024 | 77.23 Mn |
| Sep 30, 2024 | 72.35 Mn |
| Jun 30, 2024 | 74.31 Mn |
| Mar 31, 2024 | 66.49 Mn |
| Dec 31, 2023 | 63.22 Mn |
| Sep 30, 2023 | 58.60 Mn |
| Jun 30, 2023 | 54.51 Mn |
| Mar 31, 2023 | 57.16 Mn |
| Dec 31, 2022 | 60.11 Mn |
| Sep 30, 2022 | 42.29 Mn |
| Jun 30, 2022 | 36.42 Mn |
| Mar 31, 2022 | 36.50 Mn |
| Dec 31, 2021 | 46.88 Mn |
API Access
Editas Medicine Total 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-current-liabilities&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();