Jerash Holdings (US) (JRSH) Accumulated Expenses (2017 - 2026)
Jerash Holdings (US)'s Accumulated Expenses came in at $5.19 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 42.1% from $3.66 million a year earlier but down 6.0% from the prior quarter.
Jerash Holdings (US) (JRSH) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Jerash Holdings (US)'s Accumulated Expenses was $5.53 million, up 27.3% from FY2025.
- Accumulated Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 18.8% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $4.34 million in FY2025 (+4.0%), $4.18 million in FY2024 (+42.5%), $2.93 million in FY2023 (-6.0%) and $3.12 million in FY2022 (+33.6%).
- The five-year range for quarterly Accumulated Expenses is $2.44 million (fiscal Q1 2024) to $5.53 million (fiscal Q4 2026).
- Year-over-year, Accumulated Expenses has increased for 11 consecutive quarters, with growth averaging 20.5% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 47.0%), and the weakest in fiscal Q2 2024 (a decline of 29.4%).
- Business Quant data shows JRSH's Accumulated Expenses at $5.53 million (Q4 2026), $3.96 million (Q3 2026) and $4.08 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Jerash Holdings (US) | 78.10 Mn | 24.82 Mn | 8.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.19 Mn |
| Mar 31, 2026 | 5.53 Mn |
| Dec 31, 2025 | 3.96 Mn |
| Sep 30, 2025 | 4.08 Mn |
| Jun 30, 2025 | 3.66 Mn |
| Mar 31, 2025 | 4.34 Mn |
| Dec 31, 2024 | 3.84 Mn |
| Sep 30, 2024 | 3.65 Mn |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 4.18 Mn |
| Dec 31, 2023 | 2.90 Mn |
| Sep 30, 2023 | 2.68 Mn |
| Jun 30, 2023 | 2.44 Mn |
| Mar 31, 2023 | 2.93 Mn |
| Dec 31, 2022 | 2.85 Mn |
| Sep 30, 2022 | 3.80 Mn |
| Jun 30, 2022 | 3.26 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Dec 31, 2021 | 3.28 Mn |
| Sep 30, 2021 | 3.46 Mn |
Jerash Holdings (US) Accumulated Expenses 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=accumulated-expenses&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();