Super Hi International Holding (HDL) EV to FCF (2024 - 2026)
Super Hi International Holding's EV to FCF was 4.44 in Q2 2026, down 48.0% from 8.54 a year earlier and down 25.5% from the prior quarter.
Super Hi International Holding (HDL) EV to FCF (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Super Hi International Holding's EV to FCF was -1.65 through Jun 30, 2026; for FY2025, it came in at 4.60, down 56.0% from FY2024.
- In earlier years, EV to FCF was 10.45 in FY2024.
- The Q2 2026 figure marks the lowest quarterly EV to FCF in data going back to Q2 2024.
- Compared with a year earlier, EV to FCF has declined for three straight quarters, with an average decline of 26.8% over the last five quarters.
- Per Business Quant data, HDL's EV to FCF in the three quarters before Q2 2026 was 5.96 (Q1 2026), 6.73 (Q4 2025) and 9.00 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn |
| 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 |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - |
| 10 | Super Hi International Holding | 602.33 Mn | -390.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.47 |
| Mar 31, 2026 | 5.99 |
| Dec 31, 2025 | 6.75 |
| Sep 30, 2025 | 9.03 |
| Jun 30, 2025 | 8.57 |
| Mar 31, 2025 | 11.30 |
| Dec 31, 2024 | 13.51 |
| Sep 30, 2024 | 7.23 |
| Jun 30, 2024 | 9.91 |
Super Hi International Holding EV 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=ev-to-fcf&ticker=HDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-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=ev-to-fcf&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();