Jerash Holdings (US) (JRSH) Gross Margin (2016 - 2026)
Jerash Holdings (US) (JRSH) reported Gross Margin of 16.45% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.08 percentage points from 15.36% a year earlier but down 0.70 percentage points from the prior quarter.
Jerash Holdings (US) (JRSH) Gross Margin (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jerash Holdings (US)'s Gross Margin came in at 16.37%, down 0.08 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 16.11%, up 0.80 percentage points from FY2025.
- Gross Margin has a five-year change of -1.63 percentage points (FY2021 to FY2026).
- By fiscal year, Gross Margin came in at 15.31% in FY2025 (+0.88 pp), 14.42% in FY2024 (-1.36 pp), 15.78% in FY2023 (-3.28 pp) and 19.07% in FY2022 (+1.33 pp).
- Five-year quarterly Gross Margin spans a low of 6.95% in fiscal Q4 2024 and a high of 22.11% in fiscal Q2 2022.
- Year over year, Gross Margin gained in five of the last eight quarters, with an average year-over-year change of +1.86 percentage points.
- The high point for year-over-year Gross Margin in five years was fiscal Q4 2025 (a gain of 10.95 percentage points); the low point was fiscal Q3 2023 (a drop of 5.30 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 17.15% (Q4 2026), 16.88% (Q3 2026) and 14.99% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 49.15% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 62.68% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 29.05% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 59.05% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.41% |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 16.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.45% |
| Mar 31, 2026 | 17.15% |
| Dec 31, 2025 | 16.88% |
| Sep 30, 2025 | 14.99% |
| Jun 30, 2025 | 15.36% |
| Mar 31, 2025 | 17.91% |
| Dec 31, 2024 | 15.21% |
| Sep 30, 2024 | 17.54% |
| Jun 30, 2024 | 11.33% |
| Mar 31, 2024 | 6.95% |
| Dec 31, 2023 | 16.21% |
| Sep 30, 2023 | 16.10% |
| Jun 30, 2023 | 16.03% |
| Mar 31, 2023 | 10.32% |
| Dec 31, 2022 | 13.47% |
| Sep 30, 2022 | 18.29% |
| Jun 30, 2022 | 19.81% |
| Mar 31, 2022 | 15.14% |
| Dec 31, 2021 | 18.77% |
| Sep 30, 2021 | 22.11% |
Jerash Holdings (US) Gross Margin 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=gross-margin&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();