Jerash Holdings (US) (JRSH) Non-Current Assets (2017 - 2026)
Jerash Holdings (US) (JRSH) reported Non-Current Assets of $31.22 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 10.0% from $28.38 million a year earlier but down 0.8% from the prior quarter.
Jerash Holdings (US) (JRSH) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Jerash Holdings (US) posted Non-Current Assets of $31.46 million, up 10.2% from FY2025.
- Non-Current Assets has a five-year compound annual growth rate of 29.6% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $28.56 million in FY2025 (-2.6%), $29.33 million in FY2024 (+10.9%), $26.44 million in FY2023 (+71.2%) and $15.44 million in FY2022 (+79.6%).
- Five-year quarterly Non-Current Assets spans a low of $9.87 million in fiscal Q2 2022 and a high of $31.46 million in fiscal Q4 2026.
- Year over year, Non-Current Assets gained in four of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q2 2023 (growth of 150.3%); the low point was fiscal Q3 2026 (a decline of 4.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $31.46 million (Q4 2026), $27.45 million (Q3 2026) and $27.78 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 13.81 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 3.66 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 5.52 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 4.39 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 3.27 Bn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 31.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.22 Mn |
| Mar 31, 2026 | 31.46 Mn |
| Dec 31, 2025 | 27.45 Mn |
| Sep 30, 2025 | 27.78 Mn |
| Jun 30, 2025 | 28.38 Mn |
| Mar 31, 2025 | 28.56 Mn |
| Dec 31, 2024 | 28.72 Mn |
| Sep 30, 2024 | 28.76 Mn |
| Jun 30, 2024 | 29.02 Mn |
| Mar 31, 2024 | 29.33 Mn |
| Dec 31, 2023 | 28.38 Mn |
| Sep 30, 2023 | 28.41 Mn |
| Jun 30, 2023 | 27.57 Mn |
| Mar 31, 2023 | 26.44 Mn |
| Dec 31, 2022 | 25.10 Mn |
| Sep 30, 2022 | 24.71 Mn |
| Jun 30, 2022 | 16.66 Mn |
| Mar 31, 2022 | 15.44 Mn |
| Dec 31, 2021 | 14.19 Mn |
| Sep 30, 2021 | 9.87 Mn |
Jerash Holdings (US) 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=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();