J-Long (JL) Non-Current Debt (2023 - 2026)
J-Long (JL) posted Non-Current Debt of $2.41 million for the quarter ended Mar 31, 2026, up 240.6% from $706,811 a year earlier.
Powered by 
Analysis
J-Long (JL) Non-Current Debt (2023 - 2026) Analysis & Trends
Since the quarter ended Mar 31, 2023, J-Long has reported Non-Current Debt for 7 quarters.
- Annual Non-Current Debt shows a three-year compound annual growth rate of 6.1% (years ended Mar 2023 to Mar 2026).
- In prior years, J-Long's Non-Current Debt was $706,811 in the year ended Mar 31, 2025 (-48.8%), $1.38 million in the year ended Mar 31, 2024 (-31.4%) and $2.01 million in the year ended Mar 31, 2023.
- On a year-over-year basis, Non-Current Debt increased in 1 of the last four quarters, with growth averaging 21.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 12.69 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 2.41 Bn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 50.00 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 3.98 Bn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 8.01 Bn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 1.66 Bn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 5.91 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 262.30 Mn |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | -1.18 Mn |
| 10 | J-Long | 16.87 Mn | -4.10 Bn | - | 2.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.95 Mn |
| Sep 30, 2025 | 345,859.00 |
| Mar 31, 2025 | 1.39 Mn |
| Sep 30, 2024 | 1.05 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Sep 30, 2023 | 1.72 Mn |
| Mar 31, 2023 | 2.01 Mn |
API Access
J-Long Non-Current Debt 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=non-current-debt&ticker=JL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();