Super Hi International Holding (HDL) Return on Sales [ROS] (2023 - 2026)
Super Hi International Holding (HDL) posted Return on Sales [ROS] of -0.16% for Q2 2026, down 8.59 percentage points from 8.43% a year earlier and down 2.82 percentage points from the prior quarter.
Super Hi International Holding (HDL) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Super Hi International Holding was 1.64%, down 5.47 percentage points year-over-year; for FY2025, it was 4.53%, up 1.35 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of +12.54 percentage points (FY2022 to FY2025).
- In prior years, Super Hi International Holding's Return on Sales [ROS] was 3.17% in FY2024 (-0.42 pp), 3.60% in FY2023 (+11.61 pp) and -8.01% in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.40 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 20.51 percentage points; the weakest was Q3 2025, with a drop of 18.06 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 2.66% (Q1 2026), 2.38% (Q4 2025) and 1.60% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | Super Hi International Holding | 735.49 Mn | -269.77 Mn | - | -0.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.16% |
| Mar 31, 2026 | 2.66% |
| Dec 31, 2025 | 2.38% |
| Sep 30, 2025 | 1.60% |
| Jun 30, 2025 | 8.43% |
| Mar 31, 2025 | 6.26% |
| Dec 31, 2024 | -5.29% |
| Sep 30, 2024 | 19.66% |
| Jun 30, 2024 | 0.10% |
| Mar 31, 2024 | -1.86% |
| Dec 31, 2023 | 12.25% |
| Sep 30, 2023 | -0.84% |
| Jun 30, 2023 | -1.40% |
| Mar 31, 2023 | 3.27% |
Super Hi International Holding 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=HDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HDL", "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=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();