J-Long (JL) Debt Ratio (2023 - 2026)
J-Long's (JL) Debt Ratio was 0.18 for the quarter ended Mar 31, 2026, up 13.0% from 0.16 a year earlier.
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Analysis
J-Long (JL) Debt Ratio (2023 - 2026) Analysis & Trends
Dating back to the quarter ended Mar 31, 2023, J-Long's Debt Ratio record includes 7 quarters.
- By year, Debt Ratio came in at 0.16 in the year ended Mar 31, 2025 (-15.7%), 0.19 in the year ended Mar 31, 2024 (-22.6%) and 0.24 in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Debt Ratio since the quarter ended Sep 30, 2024.
- Year over year, Debt Ratio gained in two of the last four quarters, with an average decline of 10.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.90 Bn | 67.66 Bn | 1.73 Bn | 0.45 |
| 2 | W.W. Grainger | 63.55 Bn | 61.14 Bn | 1.98 Bn | 0.25 |
| 3 | Fastenal | 59.99 Bn | 58.99 Bn | 1.10 Bn | 0.02 |
| 4 | Ferguson Enterprises | 44.47 Bn | 41.68 Bn | 2.32 Bn | 0.23 |
| 5 | Sunbelt Rentals Holdings | 32.18 Bn | 32.05 Bn | 1.25 Bn | 0.36 |
| 6 | Reliance | 21.51 Bn | 20.55 Bn | 1.30 Bn | 0.15 |
| 7 | Wesco International | 15.91 Bn | 13.23 Bn | 1.46 Bn | 0.33 |
| 8 | Watsco | 12.27 Bn | 9.96 Bn | 578.93 Mn | 0.02 |
| 9 | Applied Industrial Technologies | 11.97 Bn | 11.84 Bn | 411.22 Mn | 0.09 |
| 10 | J-Long | 16.17 Mn | -4.10 Bn | - | 0.20 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.20 |
| Sep 30, 2025 | 0.11 |
| Mar 31, 2025 | 0.19 |
| Sep 30, 2024 | 0.20 |
| Mar 31, 2024 | 0.23 |
| Sep 30, 2023 | 0.19 |
| Mar 31, 2023 | 0.24 |
API Access
J-Long 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=JL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "JL", "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=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();