GEN Restaurant (GENK) EV to EBITDA (2023 - 2025)
GEN Restaurant's (GENK) EV to EBITDA came in at 56.12 for Q2 2025, up 70.1% from 32.99 a year earlier and up 57.9% from the prior quarter.
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Analysis
GEN Restaurant (GENK) EV to EBITDA (2023 - 2025) Analysis & Trends
For the trailing twelve months through Jun 30, 2025, EV to EBITDA at GEN Restaurant was 32.62, up 43.0% year-over-year; for FY2024, it was 34.31, up 76.3% from FY2023.
- In prior years, GEN Restaurant's EV to EBITDA was 19.46 in FY2023.
- The Q2 2025 figure stands as the highest quarterly EV to EBITDA in data going back to Q2 2023.
- On a year-over-year basis, EV to EBITDA increased in four of the last five quarters, with growth averaging 45.1%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 35.55 (Q1 2025), 34.43 (Q4 2024) and 39.73 (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | GEN Restaurant | 53.07 Mn | 33.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 56.12 |
| Mar 31, 2025 | 35.55 |
| Dec 31, 2024 | 34.43 |
| Sep 30, 2024 | 39.73 |
| Jun 30, 2024 | 32.99 |
| Mar 31, 2024 | 37.56 |
| Dec 31, 2023 | 19.61 |
| Sep 30, 2023 | 22.35 |
| Jun 30, 2023 | 30.71 |
API Access
GEN Restaurant EV to EBITDA 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-ebitda&ticker=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "GENK", "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-ebitda&ticker=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();