Jerash Holdings (US) (JRSH) Operating Expenses (2016 - 2026)
Jerash Holdings (US) (JRSH) posted Operating Expenses of $5.63 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.8% from $5.13 million a year earlier and up 12.2% from the prior quarter.
Jerash Holdings (US) (JRSH) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Jerash Holdings (US) was $20.96 million, up 2.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $20.46 million, down 2.0% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- In prior fiscal years, Jerash Holdings (US)'s Operating Expenses was $20.87 million in FY2025 (+18.8%), $17.57 million in FY2024 (+1.1%), $17.37 million in FY2023 (+3.2%) and $16.84 million in FY2022 (+58.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 7.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2022, with growth of 90.7%; the weakest was fiscal Q2 2026, with a decline of 12.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $5.02 million (Q4 2026), $5.11 million (Q3 2026) and $5.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 5.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.63 Mn |
| Mar 31, 2026 | 5.02 Mn |
| Dec 31, 2025 | 5.11 Mn |
| Sep 30, 2025 | 5.20 Mn |
| Jun 30, 2025 | 5.13 Mn |
| Mar 31, 2025 | 4.81 Mn |
| Dec 31, 2024 | 4.68 Mn |
| Sep 30, 2024 | 5.92 Mn |
| Jun 30, 2024 | 5.47 Mn |
| Mar 31, 2024 | 4.52 Mn |
| Dec 31, 2023 | 4.09 Mn |
| Sep 30, 2023 | 4.48 Mn |
| Jun 30, 2023 | 4.48 Mn |
| Mar 31, 2023 | 4.28 Mn |
| Dec 31, 2022 | 4.47 Mn |
| Sep 30, 2022 | 4.31 Mn |
| Jun 30, 2022 | 4.31 Mn |
| Mar 31, 2022 | 4.56 Mn |
| Dec 31, 2021 | 4.50 Mn |
| Sep 30, 2021 | 4.49 Mn |
Jerash Holdings (US) Operating 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=operating-expenses&ticker=JRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();