J-Long (JL) Loans - Net (2023 - 2026)
J-Long (JL) recorded Loans - Net of $326,912 in the quarter ended Mar 31, 2026, up 215.8% from $103,522 a year earlier.
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Analysis
J-Long (JL) Loans - Net (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, J-Long's Loans - Net history includes 5 quarters.
- Annual Loans - Net has a three-year compound annual growth rate of -6.0% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Loans - Net came in at $103,522 in the year ended Mar 31, 2025 (-27.7%), $143,112 in the year ended Mar 31, 2024 (-63.6%) and $393,442 in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 is the highest quarterly Loans - Net since the quarter ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | - |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | - |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | - |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | - |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | - |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | - |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | - |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | - |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | - |
| 10 | J-Long | 17.05 Mn | 17.49 Mn | - | 326,912.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 326,912.00 |
| Mar 31, 2025 | 103,522.00 |
| Sep 30, 2024 | 917.00 |
| Mar 31, 2024 | 143,112.00 |
| Mar 31, 2023 | 393,442.00 |
API Access
J-Long Loans - Net 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=loans-net&ticker=JL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();