Super Hi International Holding (HDL) Price to Sales (2024 - 2026)
Super Hi International Holding's (HDL) Price to Sales came in at 0.91 for Q2 2026, down 42.5% from 1.58 a year earlier and down 16.7% from the prior quarter.
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Analysis
Super Hi International Holding (HDL) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Super Hi International Holding's Price to Sales stood at 1.24, down 48.3% from FY2024.
- In prior years, Super Hi International Holding's Price to Sales was 2.40 in FY2024.
- The Q2 2026 figure stands as the lowest quarterly Price to Sales in data going back to Q2 2024.
- On a year-over-year basis, Price to Sales has declined in each of the last three quarters, with an average decline of 24.9% over the last five quarters.
- According to Business Quant data, Price to Sales for the three prior quarters was 1.09 (Q1 2026), 1.24 (Q4 2025) and 1.49 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 175.64 Bn | 170.46 Bn | 6.42 Bn |
| 2 | Starbucks | 114.65 Bn | 102.27 Bn | - |
| 3 | Yum Brands | 40.96 Bn | 37.84 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 34.99 Bn | 30.97 Bn | - |
| 5 | Restaurant Brands International | 26.07 Bn | 21.63 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.05 Bn | 23.14 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.15 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.84 Bn | 10.18 Bn | - |
| 10 | Super Hi International Holding | 606.02 Mn | -387.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.91 |
| Mar 31, 2026 | 1.09 |
| Dec 31, 2025 | 1.24 |
| Sep 30, 2025 | 1.49 |
| Jun 30, 2025 | 1.58 |
| Mar 31, 2025 | 1.91 |
| Dec 31, 2024 | 2.40 |
| Sep 30, 2024 | 1.42 |
| Jun 30, 2024 | 1.52 |
API Access
Super Hi International Holding Price to Sales 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=price-to-sales&ticker=HDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();