Cheesecake Factory (CAKE) Accumulated Expenses (2009 - 2026)
Cheesecake Factory (CAKE) posted Accumulated Expenses of $287.42 million for Q2 2026, up 9.0% from $263.61 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Cheesecake Factory (CAKE) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Cheesecake Factory's Accumulated Expenses came in at $265.28 million, unchanged from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, Cheesecake Factory's Accumulated Expenses was $265.38 million in FY2024 (+10.7%), $239.7 million in FY2023 and $239.19 million in FY2021 (+13.6%).
- Quarterly Accumulated Expenses has run from a low of $210.16 million in Q3 2021 to a high of $291.88 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last seven quarters, with growth averaging 8.3%.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 0.0% (Q4 2025) to 13.8% (Q2 2025).
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $287.58 million (Q1 2026), $265.28 million (Q4 2025) and $291.88 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.42 Mn |
| Mar 31, 2026 | 287.58 Mn |
| Dec 30, 2025 | 265.28 Mn |
| Sep 30, 2025 | 291.88 Mn |
| Jul 1, 2025 | 263.61 Mn |
| Apr 1, 2025 | 272.44 Mn |
| Dec 31, 2024 | 265.38 Mn |
| Oct 1, 2024 | 265.00 Mn |
| Jul 2, 2024 | 231.72 Mn |
| Apr 2, 2024 | 249.50 Mn |
| Jan 2, 2024 | 239.70 Mn |
| Oct 3, 2023 | 240.44 Mn |
| Jul 4, 2023 | 220.92 Mn |
| Apr 4, 2023 | 237.29 Mn |
| Jan 3, 2023 | 231.13 Mn |
| Sep 27, 2022 | 225.00 Mn |
| Jun 28, 2022 | 237.45 Mn |
| Mar 29, 2022 | 202.22 Mn |
| Dec 28, 2021 | 239.19 Mn |
| Sep 28, 2021 | 210.16 Mn |
API Access
Cheesecake Factory Accumulated 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=accumulated-expenses&ticker=CAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();