Cheesecake Factory (CAKE) Selling, General & Administrative (2009 - 2026)
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Analysis
Cheesecake Factory (CAKE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 190.47 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 139.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 72.41 Mn |
| 10 | Cheesecake Factory | 5.20 Bn | 5.00 Bn | 756.95 Mn | 65.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.59 Mn |
| Mar 31, 2026 | 63.93 Mn |
| Dec 30, 2025 | 67.21 Mn |
| Sep 30, 2025 | 59.00 Mn |
| Jul 1, 2025 | 58.78 Mn |
| Apr 1, 2025 | 59.93 Mn |
| Dec 31, 2024 | 57.78 Mn |
| Oct 1, 2024 | 56.20 Mn |
| Jul 2, 2024 | 54.38 Mn |
| Apr 2, 2024 | 60.37 Mn |
| Jan 2, 2024 | 67.81 Mn |
| Oct 3, 2023 | 54.21 Mn |
| Jul 4, 2023 | 54.49 Mn |
| Apr 4, 2023 | 54.07 Mn |
| Sep 27, 2022 | 50.32 Mn |
| Jun 28, 2022 | 50.19 Mn |
| Mar 29, 2022 | 49.12 Mn |
| Dec 28, 2021 | 47.68 Mn |
| Sep 28, 2021 | 45.80 Mn |
| Jun 29, 2021 | 48.23 Mn |
API Access
Cheesecake Factory Selling, General & Administrative 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=selling-general-and-administrative&ticker=CAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();