GEN Restaurant (GENK) Dividends Paid - Common (2022 - 2023)
GEN Restaurant's Dividends Paid - Common came in at $157,000 for FY2025, down 81.4% from $845,000 in FY2024.
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Analysis
GEN Restaurant (GENK) Dividends Paid - Common (2022 - 2023) Analysis & Trends
Going back to FY2022, GEN Restaurant's Dividends Paid - Common data covers 4 years.
- Dividends Paid - Common has declined in each of the last three years, with a three-year compound annual growth rate of -82.5% (FY2022 to FY2025).
- Per Business Quant, earlier years put Dividends Paid - Common at $845,000 in FY2024 (-96.8%), $26.47 million in FY2023 (-9.3%) and $29.19 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Paid (Common) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 1.32 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 | 206.00 Mn |
| 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 | 101.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 49.26 Mn |
| 10 | GEN Restaurant | 53.07 Mn | 33.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 8.18 Mn |
| Jun 30, 2023 | 15.23 Mn |
| Mar 31, 2023 | 3.06 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 4.83 Mn |
API Access
GEN Restaurant Dividends Paid - Common 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=dividends-paid-common&ticker=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common", "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=dividends-paid-common&ticker=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();