J-Long (JL) Accumulated Expenses (2023 - 2026)
J-Long (JL) recorded Accumulated Expenses of $695,034 in the quarter ended Mar 31, 2026, up 2.3% from $679,227 a year earlier.
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Analysis
J-Long (JL) Accumulated Expenses (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, J-Long's Accumulated Expenses history includes 6 quarters.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 35.1% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Accumulated Expenses came in at $679,227 in the year ended Mar 31, 2025 (-10.7%), $760,992 in the year ended Mar 31, 2024 (+169.9%) and $281,991 in the year ended Mar 31, 2023.
- Quarterly Accumulated Expenses has ranged from $281,991 in the quarter ended Mar 31, 2023 to $909,311 in the quarter ended Sep 30, 2024 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn |
| 10 | J-Long | 13.90 Mn | -4.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 695,034.00 |
| Sep 30, 2025 | 787,799.00 |
| Mar 31, 2025 | 679,227.00 |
| Sep 30, 2024 | 909,311.00 |
| Mar 31, 2024 | 760,992.00 |
| Mar 31, 2023 | 281,991.00 |
API Access
J-Long 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=accumulated-expenses&ticker=JL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();