Super Hi International Holding (HDL) Price to Earnings (2024 - 2026)
Super Hi International Holding's Price to Earnings came in at 78.53 for Q2 2026, up 238.6% from 23.19 a year earlier and up 137.0% from the prior quarter.
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Analysis
Super Hi International Holding (HDL) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2025, Super Hi International Holding's Price to Earnings was 28.67, down 66.6% from FY2024.
- Going back by year, Price to Earnings was 85.79 in FY2024.
- The Q2 2026 figure represents the highest quarterly Price to Earnings since Q4 2024.
- Year-over-year, Price to Earnings increased in two of the last five quarters, with growth averaging 61.0%.
- Business Quant data shows HDL's Price to Earnings at 33.13 (Q1 2026), 28.67 (Q4 2025) and 59.26 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 175.71 Bn | 170.54 Bn | 6.42 Bn |
| 2 | Starbucks | 115.73 Bn | 103.35 Bn | - |
| 3 | Yum Brands | 41.27 Bn | 38.16 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.22 Bn | 31.20 Bn | - |
| 5 | Restaurant Brands International | 26.07 Bn | 21.63 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.19 Bn | 23.29 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.51 Bn | 9.17 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.93 Bn | 10.27 Bn | - |
| 10 | Super Hi International Holding | 606.02 Mn | -387.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.53 |
| Mar 31, 2026 | 33.13 |
| Dec 31, 2025 | 28.67 |
| Sep 30, 2025 | 59.26 |
| Jun 30, 2025 | 23.19 |
| Mar 31, 2025 | 39.46 |
| Dec 31, 2024 | 85.79 |
| Sep 30, 2024 | 18.96 |
| Jun 30, 2024 | 63.58 |
API Access
Super Hi International Holding Price to Earnings 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-earnings&ticker=HDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();