Jerash Holdings (US) (JRSH) Inventory (2017 - 2026)
Jerash Holdings (US)'s Inventory was $26.59 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.6% from $27.32 million a year earlier and down 11.2% from the prior quarter.
Jerash Holdings (US) (JRSH) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Inventory at Jerash Holdings (US) came in at $29.96 million, up 8.1% from FY2025.
- Inventory shows a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $27.7 million in FY2025 (+1.7%), $27.24 million in FY2024 (-16.6%), $32.66 million in FY2023 (+15.6%) and $28.26 million in FY2022 (+12.9%).
- Quarterly Inventory has moved between $15.94 million (fiscal Q3 2024) and $36.43 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Inventory was higher in seven of the last eight quarters, with growth averaging 16.6%.
- The best year-over-year quarter for Inventory over five years was fiscal Q2 2022 (growth of 99.5%); the worst was fiscal Q2 2024 (a decline of 48.6%).
- Per Business Quant data, JRSH's Inventory in the three fiscal quarters before Q1 2027 was $29.96 million (Q4 2026), $26.03 million (Q3 2026) and $26.26 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 26.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.59 Mn |
| Mar 31, 2026 | 29.96 Mn |
| Dec 31, 2025 | 26.03 Mn |
| Sep 30, 2025 | 26.26 Mn |
| Jun 30, 2025 | 27.32 Mn |
| Mar 31, 2025 | 27.70 Mn |
| Dec 31, 2024 | 19.12 Mn |
| Sep 30, 2024 | 20.21 Mn |
| Jun 30, 2024 | 20.73 Mn |
| Mar 31, 2024 | 27.24 Mn |
| Dec 31, 2023 | 15.94 Mn |
| Sep 30, 2023 | 18.71 Mn |
| Jun 30, 2023 | 23.80 Mn |
| Mar 31, 2023 | 32.66 Mn |
| Dec 31, 2022 | 26.66 Mn |
| Sep 30, 2022 | 36.43 Mn |
| Jun 30, 2022 | 28.97 Mn |
| Mar 31, 2022 | 28.26 Mn |
| Dec 31, 2021 | 21.48 Mn |
| Sep 30, 2021 | 20.56 Mn |
Jerash Holdings (US) Inventory 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=inventory&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();