Decoy Therapeutics (DCOY) Debt Ratio (2019 - 2025)
Decoy Therapeutics' Debt Ratio came in at 0.05 for Q1 2025, up 100.5% from 0.02 a year earlier but down 34.6% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Debt Ratio (2019 - 2025) Analysis & Trends
For FY2024, Decoy Therapeutics' Debt Ratio was 0.07, up 61.1% from FY2023.
- Going back by year, Debt Ratio was 0.05 in FY2023 and 0.02 in FY2020 (-44.5%).
- The five-year range for quarterly Debt Ratio is 0.00 (Q1 2021) to 0.09 (Q3 2024).
- Year-over-year, Debt Ratio has increased for three consecutive quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Decoy Therapeutics | 1.23 Mn | 1.23 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 0.05 |
| Dec 31, 2024 | 0.07 |
| Sep 30, 2024 | 0.09 |
| Mar 31, 2024 | 0.02 |
| Dec 31, 2023 | 0.05 |
| Sep 30, 2023 | 0.06 |
| Mar 31, 2021 | 0.00 |
| Dec 31, 2020 | 0.02 |
| Sep 30, 2020 | 0.03 |
| Mar 31, 2020 | 0.01 |
| Dec 31, 2019 | 0.04 |
| Sep 30, 2019 | 0.05 |
API Access
Decoy 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=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "DCOY", "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=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();