Cheesecake Factory (CAKE) Dividends Paid - Common and Preferred (2012 - 2026)
Analysis
Cheesecake Factory (CAKE) Dividends Paid - Common and Preferred (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.79 Bn | 191.61 Bn | 6.42 Bn | 1.32 Bn |
| 2 | Starbucks | 121.02 Bn | 108.65 Bn | - | 706.60 Mn |
| 3 | Yum Brands | 45.33 Bn | 42.21 Bn | 1.47 Bn | 206.00 Mn |
| 4 | Chipotle Mexican Grill | 44.75 Bn | 41.25 Bn | - | - |
| 5 | Restaurant Brands International | 27.39 Bn | 24.77 Bn | 1.40 Bn | 296.00 Mn |
| 6 | Darden Restaurants | 25.86 Bn | 24.96 Bn | 1.68 Bn | 184.20 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 296.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 11.53 Bn | 537.00 Mn | 101.00 Mn |
| 9 | Texas Roadhouse | 12.58 Bn | 11.94 Bn | - | 49.26 Mn |
| 10 | Cheesecake Factory | 5.52 Bn | 4.62 Bn | - | 14.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2026 | 14.20 Mn |
| Jun 30, 2026 | 15.68 Mn |
| Mar 31, 2026 | 14.23 Mn |
| Dec 30, 2025 | 12.78 Mn |
| Sep 30, 2025 | 12.60 Mn |
| Jul 1, 2025 | 14.33 Mn |
| Apr 1, 2025 | 12.49 Mn |
| Dec 31, 2024 | 13.24 Mn |
| Oct 1, 2024 | 13.11 Mn |
| Jul 2, 2024 | 13.87 Mn |
| Apr 2, 2024 | 12.82 Mn |
| Jan 2, 2024 | 24.86 Mn |
| Apr 4, 2023 | 13.18 Mn |
| Sep 27, 2022 | 14.06 Mn |
| Jun 29, 2021 | -1.84 Mn |
| Mar 30, 2021 | 2.18 Mn |
| Mar 31, 2020 | 15.79 Mn |
| Dec 31, 2019 | 15.73 Mn |
| Oct 1, 2019 | 15.70 Mn |
| Jul 2, 2019 | 14.66 Mn |
API Access
Cheesecake Factory Dividends Paid - Common and Preferred 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-and-prefferd&ticker=CAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "ticker": "CAKE", "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-and-prefferd&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();