J-Long (JL) Total Liabilities (2023 - 2026)
J-Long's Total Liabilities was $11.24 million in the quarter ended Mar 31, 2026, up 33.7% from $8.41 million a year earlier.
Analysis
J-Long (JL) Total Liabilities (2023 - 2026) Analysis & Trends
From the quarter ended Mar 31, 2023 onward, J-Long has reported Total Liabilities for 7 quarters.
- Total Liabilities shows a three-year compound annual growth rate of 6.7% (years ended Mar 2023 to Mar 2026).
- In earlier years, Total Liabilities was $8.41 million in the year ended Mar 31, 2025 (+25.1%), $6.72 million in the year ended Mar 31, 2024 (-27.4%) and $9.26 million in the year ended Mar 31, 2023.
- Compared with a year earlier, Total Liabilities was higher in three of the last four quarters, with growth averaging 16.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 5.11 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.22 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 11.92 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 16.17 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 3.75 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 12.59 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.15 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.61 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 5.97 Bn |
| 10 | J-Long | 17.05 Mn | 17.49 Mn | - | 11.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.24 Mn |
| Sep 30, 2025 | 8.63 Mn |
| Mar 31, 2025 | 8.41 Mn |
| Sep 30, 2024 | 7.54 Mn |
| Mar 31, 2024 | 6.72 Mn |
| Sep 30, 2023 | 7.99 Mn |
| Mar 31, 2023 | 9.26 Mn |
API Access
J-Long Total Liabilities 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=total-liabilities&ticker=JL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();