Jerash Holdings (US) (JRSH) Assets (2017 - 2026)
Jerash Holdings (US) (JRSH) posted Assets of $87.38 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.9% from $81.74 million a year earlier but down 2.8% from the prior quarter.
Jerash Holdings (US) (JRSH) Assets (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Jerash Holdings (US)'s Assets came in at $89.85 million, up 8.3% from FY2025.
- Annual Assets shows a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In prior fiscal years, Jerash Holdings (US)'s Assets was $82.98 million in FY2025 (+3.4%), $80.25 million in FY2024 (-4.1%), $83.72 million in FY2023 (-1.9%) and $85.31 million in FY2022 (+16.5%).
- Quarterly Assets has run from a low of $76.66 million in fiscal Q1 2025 to a high of $93.37 million in fiscal Q2 2023 over five years.
- On a year-over-year basis, Assets has increased in each of the last eight quarters, with growth averaging 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q2 2023, with growth of 21.6%; the weakest was fiscal Q2 2024, with a decline of 15.3%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $89.85 million (Q4 2026), $84.21 million (Q3 2026) and $83.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 38.41 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 6.69 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 7.66 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 3.69 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 8.48 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 6.63 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 10.06 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 6.58 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 4.36 Bn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 87.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.38 Mn |
| Mar 31, 2026 | 89.85 Mn |
| Dec 31, 2025 | 84.21 Mn |
| Sep 30, 2025 | 83.34 Mn |
| Jun 30, 2025 | 81.74 Mn |
| Mar 31, 2025 | 82.98 Mn |
| Dec 31, 2024 | 79.84 Mn |
| Sep 30, 2024 | 80.35 Mn |
| Jun 30, 2024 | 76.66 Mn |
| Mar 31, 2024 | 80.25 Mn |
| Dec 31, 2023 | 77.79 Mn |
| Sep 30, 2023 | 79.11 Mn |
| Jun 30, 2023 | 82.37 Mn |
| Mar 31, 2023 | 83.72 Mn |
| Dec 31, 2022 | 91.13 Mn |
| Sep 30, 2022 | 93.37 Mn |
| Jun 30, 2022 | 86.30 Mn |
| Mar 31, 2022 | 85.31 Mn |
| Dec 31, 2021 | 82.56 Mn |
| Sep 30, 2021 | 76.82 Mn |
Jerash Holdings (US) 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=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();