Super Hi International Holding (HDL) Retained Earnings (2023 - 2025)
Super Hi International Holding's Retained Earnings came in at -$154.78 million for Q1 2026, compared with -$184.38 million a year earlier.
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Analysis
Super Hi International Holding (HDL) Retained Earnings (2023 - 2025) Analysis & Trends
At the end of FY2025, Super Hi International Holding's Retained Earnings was -$160.49 million.
- Going back by year, Retained Earnings was -$190.57 million in FY2024 and -$224.4 million in FY2023.
- The Q1 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | -8.54 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | -6.81 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | -67.16 Mn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 2.18 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | -259.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 1.70 Bn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 1.56 Bn |
| 10 | Super Hi International Holding | 602.33 Mn | -390.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 29.98 Mn |
| Dec 31, 2024 | 33.43 Mn |
| Dec 31, 2023 | 29.88 Mn |
API Access
Super Hi International Holding Retained 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=retained-earnings&ticker=HDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();