GEN Restaurant (GENK) EPS (Diluted) (2023 - 2026)
GEN Restaurant (GENK) reported EPS (Diluted) of -$0.14 for Q2 2026, compared with -$0.05 a year earlier.
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Analysis
GEN Restaurant (GENK) EPS (Diluted) (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GEN Restaurant's EPS (Diluted) came in at -$0.65; for FY2025, it was -$0.59.
- By year, EPS (Diluted) came in at $0.13 in FY2024 (+65.7%) and $0.08 in FY2023.
- Five-year quarterly EPS (Diluted) spans a low of -$0.37 in Q4 2025 and a high of $0.93 in Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 0.91 |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 0.32 |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 3.08 |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 1.10 |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.48 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.98 |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.85 |
| 10 | GEN Restaurant | 56.37 Mn | 37.11 Mn | - | -0.14 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.14 |
| Dec 31, 2025 | -0.37 |
| Sep 30, 2025 | -0.11 |
| Jun 30, 2025 | -0.05 |
| Mar 31, 2025 | -0.06 |
| Dec 31, 2024 | -0.04 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.06 |
| Mar 31, 2024 | 0.11 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | 0.08 |
| Jun 30, 2023 | 0.93 |
API Access
GEN Restaurant EPS (Diluted) 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=eps-diluted&ticker=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();