Super Hi International Holding (HDL) EV to CFO (2024 - 2026)
Super Hi International Holding's EV to CFO came in at 4.44 for 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 CFO (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Super Hi International Holding reported EV to CFO of -1.65; for FY2025, it came in at 6.73, down 50.1% from FY2024.
- Going back by year, EV to CFO was 13.49 in FY2024.
- The Q2 2026 figure represents the lowest quarterly EV to CFO in data going back to Q2 2024.
- Year-over-year, EV to CFO has declined for three consecutive quarters, with an average decline of 26.8% over the last five quarters.
- Business Quant data shows HDL's EV to CFO at 5.96 (Q1 2026), 6.73 (Q4 2025) and 9.00 (Q3 2025) in the three quarters before Q2 2026.
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 CFO 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-cfo&ticker=HDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=HDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();