Jerash Holdings (US) (JRSH) Retained Earnings (2017 - 2026)
Jerash Holdings (US) (JRSH) recorded Retained Earnings of $40.44 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.2% from $38.08 million a year earlier and up 2.7% from the prior quarter.
Jerash Holdings (US) (JRSH) Retained Earnings (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Jerash Holdings (US) reported Retained Earnings of $39.39 million, up 2.6% from FY2025.
- Annual Retained Earnings has a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- Across earlier fiscal years, Retained Earnings came in at $38.4 million in FY2025 (-7.9%), $41.7 million in FY2024 (-9.7%), $46.17 million in FY2023 (-0.2%) and $46.27 million in FY2022 (+13.5%).
- The fiscal Q1 2027 figure is the highest quarterly Retained Earnings since fiscal Q4 2024.
- On a year-over-year basis, Retained Earnings rose in two of the last eight quarters, with an average decline of 4.6%.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 15.4% in fiscal Q3 2022, against a decline of 13.8% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.39 million (Q4 2026), $38.44 million (Q3 2026) and $37.91 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | -155.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.90 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 902.37 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 1.17 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 3.82 Bn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 40.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.44 Mn |
| Mar 31, 2026 | 39.39 Mn |
| Dec 31, 2025 | 38.44 Mn |
| Sep 30, 2025 | 37.91 Mn |
| Jun 30, 2025 | 38.08 Mn |
| Mar 31, 2025 | 38.40 Mn |
| Dec 31, 2024 | 39.16 Mn |
| Sep 30, 2024 | 39.78 Mn |
| Jun 30, 2024 | 39.74 Mn |
| Mar 31, 2024 | 41.70 Mn |
| Dec 31, 2023 | 45.41 Mn |
| Sep 30, 2023 | 45.80 Mn |
| Jun 30, 2023 | 46.05 Mn |
| Mar 31, 2023 | 46.17 Mn |
| Dec 31, 2022 | 48.81 Mn |
| Sep 30, 2022 | 48.54 Mn |
| Jun 30, 2022 | 47.37 Mn |
| Mar 31, 2022 | 46.27 Mn |
| Dec 31, 2021 | 47.05 Mn |
| Sep 30, 2021 | 45.99 Mn |
Jerash Holdings (US) 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=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "JRSH", "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=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();