J-Long (JL) Retained Earnings (2023 - 2026)
J-Long's Retained Earnings came in at $11.23 million for the quarter ended Mar 31, 2026, up 32.7% from $8.47 million a year earlier.
Powered by 
Analysis
J-Long (JL) Retained Earnings (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, J-Long's Retained Earnings data covers 7 quarters.
- Retained Earnings carries a three-year compound annual growth rate of 0.4% (years ended Mar 2023 to Mar 2026).
- Going back by year, Retained Earnings was $8.47 million in the year ended Mar 31, 2025 (+44.1%), $5.87 million in the year ended Mar 31, 2024 (-47.0%) and $11.09 million in the year ended Mar 31, 2023.
- The figure for the quarter ended Mar 31, 2026 represents the highest quarterly Retained Earnings since the quarter ended Sep 30, 2023.
- Year-over-year, Retained Earnings increased in three of the last four quarters, with growth averaging 18.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 17.68 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 16.33 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 4.14 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 7.40 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 7.77 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 7.81 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 6.06 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 1.31 Bn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 2.90 Bn |
| 10 | J-Long | 13.90 Mn | -4.10 Bn | - | 11.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.23 Mn |
| Sep 30, 2025 | 10.79 Mn |
| Mar 31, 2025 | 8.47 Mn |
| Sep 30, 2024 | 8.18 Mn |
| Mar 31, 2024 | 5.87 Mn |
| Sep 30, 2023 | 12.51 Mn |
| Mar 31, 2023 | 11.09 Mn |
API Access
J-Long Retained Earnings 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=retained-earnings&ticker=JL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=JL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();