Super Hi International Holding (HDL) Cash & Equivalents (2023 - 2026)
Super Hi International Holding (HDL) posted Cash & Equivalents of $266.4 million for Q2 2026, up 3.1% from $258.47 million a year earlier and up 12.4% from the prior quarter.
Powered by 
Analysis
Super Hi International Holding (HDL) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, Super Hi International Holding's Cash & Equivalents came in at $271.99 million, up 6.8% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a three-year compound annual growth rate of 42.6% (FY2022 to FY2025).
- In prior years, Super Hi International Holding's Cash & Equivalents was $254.72 million in FY2024 (+66.6%), $152.91 million in FY2023 (+62.9%) and $93.88 million in FY2022.
- Quarterly Cash & Equivalents has run from a low of $75.27 million in Q3 2023 to a high of $271.99 million in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last nine quarters, with growth averaging 61.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2024, with growth of 185.8%; the weakest was Q1 2024, with a decline of 3.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $237.11 million (Q1 2026), $271.99 million (Q4 2025) and $217.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 175.71 Bn | 170.54 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 115.73 Bn | 103.35 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.27 Bn | 38.16 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 35.22 Bn | 31.20 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 26.07 Bn | 21.63 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.19 Bn | 23.29 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.51 Bn | 9.17 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.93 Bn | 10.27 Bn | - | 202.43 Mn |
| 10 | Super Hi International Holding | 606.02 Mn | -387.26 Mn | - | 266.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.40 Mn |
| Mar 31, 2026 | 237.11 Mn |
| Dec 31, 2025 | 271.99 Mn |
| Sep 30, 2025 | 217.77 Mn |
| Jun 30, 2025 | 258.47 Mn |
| Mar 31, 2025 | 204.93 Mn |
| Dec 31, 2024 | 254.72 Mn |
| Sep 30, 2024 | 215.16 Mn |
| Jun 30, 2024 | 140.66 Mn |
| Mar 31, 2024 | 90.03 Mn |
| Dec 31, 2023 | 152.91 Mn |
API Access
Super Hi International Holding Cash & Equivalents 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=cash-and-equivalents&ticker=HDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();