Ernexa Therapeutics (ERNA) Debt Ratio (2013 - 2025)
Ernexa Therapeutics' Debt Ratio came in at 0.44 for Q1 2025.
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Analysis
Ernexa Therapeutics (ERNA) Debt Ratio (2013 - 2025) Analysis & Trends
For FY2020, Ernexa Therapeutics' Debt Ratio was 0.07, down 62.4% from FY2019.
- Debt Ratio has declined in each of the last four years.
- Going back by year, Debt Ratio was 0.19 in FY2019 (-22.7%), 0.25 in FY2018 (-18.0%), 0.31 in FY2017 (-37.1%) and 0.49 in FY2016 (+7.2%).
- The Q1 2025 figure represents the highest quarterly Debt Ratio since Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Ernexa Therapeutics | 3.74 Mn | 3.74 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 0.44 |
| Sep 30, 2021 | 0.01 |
| Jun 30, 2021 | 0.01 |
| Mar 31, 2021 | 0.02 |
| Dec 31, 2020 | 0.07 |
| Sep 30, 2020 | 0.66 |
| Mar 31, 2020 | 0.18 |
| Dec 31, 2019 | 0.19 |
| Sep 30, 2019 | 0.20 |
| Jun 30, 2019 | 0.21 |
| Mar 31, 2019 | 0.21 |
| Dec 31, 2018 | 0.25 |
| Jun 30, 2018 | 0.29 |
| Mar 31, 2018 | 0.31 |
| Dec 31, 2017 | 0.31 |
| Sep 30, 2017 | 0.30 |
| Jun 30, 2017 | 0.29 |
| Mar 31, 2017 | 0.44 |
| Dec 31, 2016 | 0.49 |
| Sep 30, 2016 | 0.55 |
API Access
Ernexa Therapeutics Debt Ratio 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=debt-ratio&ticker=ERNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "ERNA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=ERNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();