Jerash Holdings (US) (JRSH) Net Margin (2016 - 2026)
Jerash Holdings (US)'s Net Margin was 3.34% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.54 percentage points from 0.80% a year earlier but down 0.35 percentage points from the prior quarter.
Jerash Holdings (US) (JRSH) Net Margin (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jerash Holdings (US)'s Net Margin was 2.77% through Jun 30, 2026, up 2.21 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 2.13%, up 2.71 percentage points from FY2025.
- Net Margin shows a five-year change of -2.47 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Net Margin was -0.58% in FY2025 (+1.13 pp), -1.71% in FY2024 (-3.46 pp), 1.75% in FY2023 (-3.77 pp) and 5.52% in FY2022 (+0.92 pp).
- Quarterly Net Margin has moved between -14.31% (fiscal Q4 2024) and 9.72% (fiscal Q2 2022) over five years.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of +3.33 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was fiscal Q4 2025 (a gain of 13.79 percentage points); the worst was fiscal Q4 2023 (a drop of 7.92 percentage points).
- Per Business Quant data, JRSH's Net Margin in the three fiscal quarters before Q1 2027 was 3.70% (Q4 2026), 2.80% (Q3 2026) and 1.10% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 9.74% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 18.53% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 13.38% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 13.63% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 5.59% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -3.16% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 15.23% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 17.37% |
| 10 | Jerash Holdings (US) | 71.88 Mn | 18.59 Mn | 8.26 Mn | 3.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.34% |
| Mar 31, 2026 | 3.70% |
| Dec 31, 2025 | 2.80% |
| Sep 30, 2025 | 1.10% |
| Jun 30, 2025 | 0.80% |
| Mar 31, 2025 | -0.52% |
| Dec 31, 2024 | -0.02% |
| Sep 30, 2024 | 1.63% |
| Jun 30, 2024 | -3.29% |
| Mar 31, 2024 | -14.31% |
| Dec 31, 2023 | 0.80% |
| Sep 30, 2023 | 1.10% |
| Jun 30, 2023 | 1.43% |
| Mar 31, 2023 | -8.35% |
| Dec 31, 2022 | 0.63% |
| Sep 30, 2022 | 3.08% |
| Jun 30, 2022 | 5.15% |
| Mar 31, 2022 | -0.42% |
| Dec 31, 2021 | 4.55% |
| Sep 30, 2021 | 9.72% |
Jerash Holdings (US) Net 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=net-margin&ticker=JRSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();