GEN Restaurant (GENK) Market Capitalization (2023 - 2026)
GEN Restaurant's Market Capitalization came in at $64.94 million for Q2 2026, down 49.4% from $128.29 million a year earlier.
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Analysis
GEN Restaurant (GENK) Market Capitalization (2023 - 2026) Analysis & Trends
For FY2025, GEN Restaurant's Market Capitalization was $69.52 million, down 71.7% from FY2024.
- Going back by year, Market Capitalization was $245.34 million in FY2024 (-4.5%) and $256.82 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Market Capitalization in data going back to Q2 2023.
- Across the past five years, year-over-year decline in Market Capitalization ran from 4.5% in Q4 2024 to 71.7% in Q4 2025.
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, 2026 | 64.94 Mn |
| Dec 31, 2025 | 69.52 Mn |
| Sep 30, 2025 | 90.59 Mn |
| Jun 30, 2025 | 128.29 Mn |
| Mar 31, 2025 | 181.06 Mn |
| Dec 31, 2024 | 245.34 Mn |
| Sep 30, 2024 | 276.83 Mn |
| Jun 30, 2024 | 297.17 Mn |
| Mar 31, 2024 | 383.10 Mn |
| Dec 31, 2023 | 256.82 Mn |
| Sep 30, 2023 | 381.79 Mn |
| Jun 30, 2023 | 557.27 Mn |
API Access
GEN Restaurant Market Capitalization 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=market-capitalization&ticker=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();