J-Long (JL) Assets (2023 - 2026)
J-Long (JL) reported Assets of $27.97 million for the quarter ended Mar 31, 2026, up 19.3% from $23.45 million a year earlier.
Analysis
J-Long (JL) Assets (2023 - 2026) Analysis & Trends
Dating back to the quarter ended Mar 31, 2023, J-Long's Assets record includes 7 quarters.
- Assets has a three-year compound annual growth rate of 10.7% (years ended Mar 2023 to Mar 2026).
- By year, Assets came in at $23.45 million in the year ended Mar 31, 2025 (+38.8%), $16.89 million in the year ended Mar 31, 2024 (-18.0%) and $20.61 million in the year ended Mar 31, 2023.
- Year over year, Assets gained in three of the last four quarters, with growth averaging 20.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 31.31 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 9.62 Bn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 5.29 Bn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 17.79 Bn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 23.61 Bn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 11.17 Bn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 17.81 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 3.01 Bn |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 5.08 Bn |
| 10 | J-Long | 16.87 Mn | -4.10 Bn | - | 27.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 27.97 Mn |
| Sep 30, 2025 | 25.66 Mn |
| Mar 31, 2025 | 23.45 Mn |
| Sep 30, 2024 | 20.02 Mn |
| Mar 31, 2024 | 16.89 Mn |
| Sep 30, 2023 | 20.75 Mn |
| Mar 31, 2023 | 20.61 Mn |
API Access
J-Long Assets 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=assets&ticker=JL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();