Cheesecake Factory (CAKE) Other Operating Expenses (2009 - 2026)
Cheesecake Factory's Other Operating Expenses came in at $272.69 million for Q2 2026, up 6.6% from $255.72 million a year earlier and up 3.2% from the prior quarter.
Cheesecake Factory (CAKE) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cheesecake Factory reported Other Operating Expenses of $1.05 billion, up 6.1% year-over-year; for FY2025, it was $1.01 billion, up 5.7% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $959.22 million in FY2024 (+4.0%), $922.43 million in FY2023 and $792.31 million in FY2021 (+28.6%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q4 2023.
- Year-over-year, Other Operating Expenses has increased for six consecutive quarters, with growth averaging 3.6% over the last seven quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 26.6%), and the weakest in Q4 2024 (a decline of 11.3%).
- Business Quant data shows CAKE's Other Operating Expenses at $264.35 million (Q1 2026), $256.14 million (Q4 2025) and $255.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Cheesecake Factory | 5.44 Bn | 4.61 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 279.65 Mn |
| Mar 31, 2026 | 269.82 Mn |
| Dec 30, 2025 | 265.51 Mn |
| Sep 30, 2025 | 262.31 Mn |
| Jul 1, 2025 | 264.77 Mn |
| Apr 1, 2025 | 254.51 Mn |
| Dec 31, 2024 | 254.75 Mn |
| Oct 1, 2024 | 246.48 Mn |
| Jul 2, 2024 | 246.07 Mn |
| Apr 2, 2024 | 239.42 Mn |
| Jan 2, 2024 | 294.93 Mn |
| Oct 3, 2023 | 236.28 Mn |
| Jul 4, 2023 | 233.00 Mn |
| Apr 4, 2023 | 233.98 Mn |
| Sep 27, 2022 | 221.34 Mn |
| Jun 28, 2022 | 222.15 Mn |
| Mar 29, 2022 | 209.40 Mn |
| Dec 28, 2021 | 213.70 Mn |
| Sep 28, 2021 | 204.66 Mn |
| Jun 29, 2021 | 202.27 Mn |
Cheesecake Factory Other Operating Expenses 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=other-operating-expenses&ticker=CAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();