Cheesecake Factory (CAKE) Selling, General & Administrative (2009 - 2026)
Cheesecake Factory (CAKE) recorded Selling, General & Administrative of $65.59 million in Q2 2026, up 11.6% from $58.78 million a year earlier and up 2.6% from the prior quarter.
Cheesecake Factory (CAKE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Cheesecake Factory's Selling, General & Administrative came in at $255.73 million as of Jun 30, 2026, up 9.9% year-over-year; for FY2025, it came in at $244.92 million, up 7.1% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $228.74 million in FY2024 (+5.2%), $217.45 million in FY2023 and $186.14 million in FY2021 (+18.1%).
- Quarterly Selling, General & Administrative has ranged from $45.8 million in Q3 2021 to $67.81 million in Q4 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 4.6% over the last seven quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 21.2% in Q3 2021, against a decline of 14.8% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $63.93 million (Q1 2026), $67.21 million (Q4 2025) and $59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 598.80 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 324.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 190.47 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 72.41 Mn |
| 10 | Cheesecake Factory | 5.44 Bn | 4.61 Bn | - | 65.59 Mn |
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 |
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_KEY
import 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();