Jin Medical International (ZJYL) Debt Ratio (2023 - 2026)
Jin Medical International's (ZJYL) Debt Ratio came in at 0.37 for the quarter ended Mar 31, 2026, down 100.0% from 324103.80 a year earlier.
Powered by 
Analysis
Jin Medical International (ZJYL) Debt Ratio (2023 - 2026) Analysis & Trends
For the year ended Sep 30, 2025, Jin Medical International's Debt Ratio stood at 0.35, down 100.0% from the prior year.
- In prior years, Jin Medical International's Debt Ratio was 247210.70 in the year ended Sep 30, 2024 (+97.8%) and 125002.09 in the year ended Sep 30, 2023.
- Quarterly Debt Ratio has run from a low of 0.05 in the quarter ended Mar 31, 2023 to a high of 324103.80 in the quarter ended Mar 31, 2025 over five years.
- On a year-over-year basis, Debt Ratio increased in two of the last four quarters, with an average decline of 16.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 0.28 |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 0.33 |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 0.04 |
| 10 | Jin Medical International | 15.03 Mn | -102.59 Mn | - | 0.37 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.37 |
| Sep 30, 2025 | 0.35 |
| Mar 31, 2025 | 0.32 |
| Sep 30, 2024 | 0.25 |
| Mar 31, 2024 | 0.24 |
| Sep 30, 2023 | 0.13 |
| Mar 31, 2023 | 0.05 |
API Access
Jin Medical International 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=ZJYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "ZJYL", "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=ZJYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();