Super Hi International Holding (HDL) EPS (Basic) (2023 - 2026)
Super Hi International Holding's EPS (Basic) was -$0.03 in Q2 2026, compared with $0.28 a year earlier.
Super Hi International Holding (HDL) EPS (Basic) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Super Hi International Holding's EPS (Basic) was $0.17 through Jun 30, 2026, down 81.6% year-over-year; for FY2025, it came in at $0.62, up 63.8% from FY2024.
- In earlier years, EPS (Basic) was $0.38 in FY2024 (-17.9%), $0.46 in FY2023 and -$0.74 in FY2022.
- The Q2 2026 figure marks the lowest quarterly EPS (Basic) since Q4 2024.
- Per Business Quant data, HDL's EPS (Basic) in the three quarters before Q2 2026 was $0.07 (Q1 2026), $0.08 (Q4 2025) and $0.06 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 177.90 Bn | 172.72 Bn | 6.42 Bn | 3.33 |
| 2 | Starbucks | 116.19 Bn | 103.82 Bn | - | 0.92 |
| 3 | Yum Brands | 42.15 Bn | 39.04 Bn | 1.47 Bn | 3.10 |
| 4 | Chipotle Mexican Grill | 36.16 Bn | 32.14 Bn | - | 0.32 |
| 5 | Restaurant Brands International | 26.36 Bn | 21.91 Bn | 1.38 Bn | 1.46 |
| 6 | Darden Restaurants | 24.59 Bn | 23.69 Bn | 1.68 Bn | 2.05 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.92 |
| 8 | Yum China Holdings | 15.54 Bn | 9.20 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 11.12 Bn | 10.46 Bn | - | 1.86 |
| 10 | Super Hi International Holding | 665.26 Mn | -328.02 Mn | - | -0.03 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.03 |
| Mar 31, 2026 | 0.07 |
| Dec 31, 2025 | 0.08 |
| Sep 30, 2025 | 0.06 |
| Jun 30, 2025 | 0.28 |
| Mar 31, 2025 | 0.21 |
| Dec 31, 2024 | -0.20 |
| Sep 30, 2024 | 0.68 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | -0.08 |
| Dec 31, 2023 | 0.42 |
| Sep 30, 2023 | -0.02 |
| Jun 30, 2023 | -0.04 |
| Mar 31, 2023 | 0.10 |
Super Hi International Holding EPS (Basic) 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=eps-basic&ticker=HDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();