J-Long (JL) Non-Current Assets (2023 - 2026)
J-Long (JL) reported Non-Current Assets of $5.05 million for the quarter ended Mar 31, 2026, up 12.9% from $4.48 million a year earlier.
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Analysis
J-Long (JL) Non-Current Assets (2023 - 2026) Analysis & Trends
Dating back to the quarter ended Mar 31, 2023, J-Long's Non-Current Assets record includes 7 quarters.
- Non-Current Assets has a three-year compound annual growth rate of 9.2% (years ended Mar 2023 to Mar 2026).
- By year, Non-Current Assets came in at $4.48 million in the year ended Mar 31, 2025 (+71.4%), $2.61 million in the year ended Mar 31, 2024 (-32.7%) and $3.88 million in the year ended Mar 31, 2023.
- Five-year quarterly Non-Current Assets spans a low of $2.61 million in the quarter ended Mar 31, 2024 and a high of $5.29 million in the quarter ended Sep 30, 2025.
- Year over year, Non-Current Assets gained in three of the last four quarters, with growth averaging 34.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 3.62 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.61 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 7.62 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 21.04 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 6.24 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 7.06 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.43 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.63 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 9.13 Bn |
| 10 | J-Long | 17.05 Mn | 17.49 Mn | - | 5.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.05 Mn |
| Sep 30, 2025 | 5.29 Mn |
| Mar 31, 2025 | 4.48 Mn |
| Sep 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | 2.61 Mn |
| Sep 30, 2023 | 3.74 Mn |
| Mar 31, 2023 | 3.88 Mn |
API Access
J-Long Non-Current 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=non-current-assets&ticker=JL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();