GEN Restaurant (GENK) Price to Book (2023 - 2026)
GEN Restaurant's (GENK) Price to Book stood at 4.07 in Q2 2026, up 30.1% from 3.13 a year earlier.
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Analysis
GEN Restaurant (GENK) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, GEN Restaurant's Price to Book came in at 2.62, down 52.8% from FY2024.
- Across earlier years, Price to Book came in at 5.56 in FY2024 (-22.0%) and 7.13 in FY2023.
- The Q2 2026 figure is the highest quarterly Price to Book since Q1 2025.
- On a year-over-year basis, Price to Book rose in 1 of the last seven quarters, with an average decline of 36.8%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 30.1% in Q2 2026, against a decline of 65.1% in Q2 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn |
| 10 | GEN Restaurant | 49.78 Mn | 49.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.38 |
| Jun 30, 2026 | 4.07 |
| Mar 31, 2026 | 3.25 |
| Dec 31, 2025 | 2.62 |
| Sep 30, 2025 | 2.38 |
| Jun 30, 2025 | 3.13 |
| Mar 31, 2025 | 4.23 |
| Dec 31, 2024 | 5.56 |
| Sep 30, 2024 | 5.96 |
| Jun 30, 2024 | 6.47 |
| Mar 31, 2024 | 9.49 |
| Dec 31, 2023 | 7.13 |
| Sep 30, 2023 | 10.90 |
| Jun 30, 2023 | 18.53 |
API Access
GEN Restaurant Price to Book 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-book&ticker=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();