Super Hi International Holding (HDL) Cash from Operations (2023 - 2026)
Super Hi International Holding's Cash from Operations came in at $28.24 million for Q2 2026, up 6.2% from $26.6 million a year earlier and up 16.5% from the prior quarter.
Super Hi International Holding (HDL) Cash from Operations (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Super Hi International Holding reported Cash from Operations of $120.84 million, up 2.4% year-over-year; for FY2025, it came in at $114.65 million, down 4.2% from FY2024.
- Cash from Operations carries a three-year compound annual growth rate of 18.8% (FY2022 to FY2025).
- Going back by year, Cash from Operations was $119.7 million in FY2024 (+5.0%), $114.05 million in FY2023 (+66.9%) and $68.32 million in FY2022.
- The five-year range for quarterly Cash from Operations is $19.69 million (Q1 2025) to $40.7 million (Q3 2024).
- Year-over-year, Cash from Operations has increased for three consecutive quarters, with growth averaging 15.4% over the last eight quarters.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2024 (growth of 104.4%), and the weakest in Q2 2024 (a decline of 33.4%).
- Business Quant data shows HDL's Cash from Operations at $24.24 million (Q1 2026), $34.21 million (Q4 2025) and $34.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.64 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 680.65 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 507.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 530.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 572.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 530.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 180.15 Mn |
| 10 | Super Hi International Holding | 745.24 Mn | -260.02 Mn | - | 28.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.24 Mn |
| Mar 31, 2026 | 24.24 Mn |
| Dec 31, 2025 | 34.21 Mn |
| Sep 30, 2025 | 34.14 Mn |
| Jun 30, 2025 | 26.60 Mn |
| Mar 31, 2025 | 19.69 Mn |
| Dec 31, 2024 | 31.00 Mn |
| Sep 30, 2024 | 40.70 Mn |
| Jun 30, 2024 | 23.98 Mn |
| Mar 31, 2024 | 24.02 Mn |
| Dec 31, 2023 | 30.39 Mn |
| Sep 30, 2023 | 19.91 Mn |
| Jun 30, 2023 | 36.01 Mn |
| Mar 31, 2023 | 27.73 Mn |
Super Hi International Holding Cash from Operations 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-from-operations&ticker=HDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();