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 | 196.79 Bn | 191.61 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 121.02 Bn | 108.65 Bn | - | 598.80 Mn |
| 3 | Yum Brands | 45.33 Bn | 42.21 Bn | 1.47 Bn | 324.00 Mn |
| 4 | Chipotle Mexican Grill | 44.75 Bn | 41.25 Bn | - | 185.23 Mn |
| 5 | Restaurant Brands International | 27.39 Bn | 24.77 Bn | 1.40 Bn | 183.00 Mn |
| 6 | Darden Restaurants | 25.86 Bn | 24.96 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 183.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 11.53 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 12.58 Bn | 11.94 Bn | - | 72.41 Mn |
| 10 | Cheesecake Factory | 5.52 Bn | 4.62 Bn | - | 66.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2026 | 66.65 Mn |
| 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 |
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();