Jerash Holdings (US) (JRSH) Return on Sales [ROS] (2016 - 2026)
Jerash Holdings (US) (JRSH) reported Return on Sales [ROS] of 5.24% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.82 percentage points from 2.42% a year earlier but down 0.21 percentage points from the prior quarter.
Jerash Holdings (US) (JRSH) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jerash Holdings (US)'s Return on Sales [ROS] came in at 4.52%, up 2.28 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 3.81%, up 2.81 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -2.17 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 0.99% in FY2025 (+1.56 pp), -0.57% in FY2024 (-3.77 pp), 3.20% in FY2023 (-4.12 pp) and 7.32% in FY2022 (+1.35 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -14.00% in fiscal Q4 2024 and a high of 12.28% in fiscal Q2 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +3.74 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2025 (a gain of 15.48 percentage points); the low point was fiscal Q4 2023 (a drop of 8.11 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 5.45% (Q4 2026), 4.65% (Q3 2026) and 2.60% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Jerash Holdings (US) | 78.10 Mn | 24.82 Mn | 8.26 Mn | 5.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.24% |
| Mar 31, 2026 | 5.45% |
| Dec 31, 2025 | 4.65% |
| Sep 30, 2025 | 2.60% |
| Jun 30, 2025 | 2.42% |
| Mar 31, 2025 | 1.48% |
| Dec 31, 2024 | 2.00% |
| Sep 30, 2024 | 2.82% |
| Jun 30, 2024 | -2.02% |
| Mar 31, 2024 | -14.00% |
| Dec 31, 2023 | 1.37% |
| Sep 30, 2023 | 2.66% |
| Jun 30, 2023 | 3.14% |
| Mar 31, 2023 | -7.70% |
| Dec 31, 2022 | 3.08% |
| Sep 30, 2022 | 6.90% |
| Jun 30, 2022 | 6.91% |
| Mar 31, 2022 | 0.41% |
| Dec 31, 2021 | 6.53% |
| Sep 30, 2021 | 12.28% |
Jerash Holdings (US) Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=JRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=JRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();