J-Long (JL) Other Accumulated Expenses (2023 - 2026)
J-Long (JL) recorded Other Accumulated Expenses of $186,378 in the quarter ended Mar 31, 2026, up 21.4% from $153,579 a year earlier.
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Analysis
J-Long (JL) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, J-Long's Other Accumulated Expenses history includes 7 quarters.
- Annual Other Accumulated Expenses has a three-year compound annual growth rate of -8.1% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Other Accumulated Expenses came in at $153,579 in the year ended Mar 31, 2025 (-72.8%), $564,711 in the year ended Mar 31, 2024 (+134.9%) and $240,375 in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 is the highest quarterly Other Accumulated Expenses since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Other Accumulated Expenses rose in two of the last four quarters, with growth averaging 14.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn |
| 10 | J-Long | 16.32 Mn | 16.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 186,378.00 |
| Sep 30, 2025 | 43,628.00 |
| Mar 31, 2025 | 153,579.00 |
| Sep 30, 2024 | 477,833.00 |
| Mar 31, 2024 | 564,711.00 |
| Sep 30, 2023 | 158,182.00 |
| Mar 31, 2023 | 240,375.00 |
API Access
J-Long Other Accumulated Expenses 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=other-accumulated-expenses&ticker=JL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();