Super Hi International Holding (HDL) Price to FCF (2024 - 2026)
Super Hi International Holding's (HDL) Price to FCF was 6.67 for Q2 2026, down 38.0% from 10.76 a year earlier and down 16.0% from the prior quarter.
Powered by 
Analysis
Super Hi International Holding (HDL) Price to FCF (2024 - 2026) Analysis & Trends
For FY2025, Price to FCF at Super Hi International Holding was 6.22, down 48.6% from FY2024.
- By year, Price to FCF came in at 12.11 in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Price to FCF in data going back to Q2 2024.
- Year over year, Price to FCF has now declined in each of the last three quarters, with an average decline of 20.5% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.94 (Q1 2026), 9.11 (Q4 2025) and 10.97 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 175.94 Bn | 170.76 Bn | 6.42 Bn |
| 2 | Starbucks | 115.37 Bn | 103.00 Bn | - |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.28 Bn | 31.26 Bn | - |
| 5 | Restaurant Brands International | 26.00 Bn | 21.55 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.05 Bn | 23.15 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.59 Bn | 9.24 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.91 Bn | 10.25 Bn | - |
| 10 | Super Hi International Holding | 606.02 Mn | -387.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.67 |
| Mar 31, 2026 | 7.94 |
| Dec 31, 2025 | 9.11 |
| Sep 30, 2025 | 10.97 |
| Jun 30, 2025 | 10.76 |
| Mar 31, 2025 | 13.07 |
| Dec 31, 2024 | 15.63 |
| Sep 30, 2024 | 9.02 |
| Jun 30, 2024 | 11.34 |
API Access
Super Hi International Holding Price to FCF 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-fcf&ticker=HDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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-fcf&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();