Cheesecake Factory (CAKE) Revenue (2009 - 2026)
Cheesecake Factory's Revenue came in at $1.03 billion for Q2 2026, up 7.7% from $955.83 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Cheesecake Factory (CAKE) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cheesecake Factory reported Revenue of $3.88 billion, up 5.7% year-over-year; for FY2025, it came in at $3.75 billion, up 4.7% from FY2024.
- Revenue carries a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Going back by year, Revenue was $3.58 billion in FY2024 (+4.1%), $3.44 billion in FY2023 and $2.93 billion in FY2021 (+47.6%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q2 2009.
- Year-over-year, Revenue has increased for six consecutive quarters, with growth averaging 3.1% over the last seven quarters.
- The fastest year-over-year change in Revenue over five years came in Q3 2021 (growth of 45.7%), and the weakest in Q4 2024 (a decline of 10.5%).
- Business Quant data shows CAKE's Revenue at $978.83 million (Q1 2026), $961.56 million (Q4 2025) and $907.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 3.29 Bn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 2.53 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.53 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 1.68 Bn |
| 10 | Cheesecake Factory | 5.41 Bn | 4.51 Bn | - | 1.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2026 | 1.03 Bn |
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 978.83 Mn |
| Dec 30, 2025 | 961.56 Mn |
| Sep 30, 2025 | 907.23 Mn |
| Jul 1, 2025 | 955.83 Mn |
| Apr 1, 2025 | 927.20 Mn |
| Dec 31, 2024 | 920.96 Mn |
| Oct 1, 2024 | 865.47 Mn |
| Jul 2, 2024 | 904.04 Mn |
| Apr 2, 2024 | 891.22 Mn |
| Jan 2, 2024 | 1.03 Bn |
| Oct 3, 2023 | 830.21 Mn |
| Jul 4, 2023 | 866.17 Mn |
| Apr 4, 2023 | 866.11 Mn |
| Sep 27, 2022 | 784.00 Mn |
| Jun 28, 2022 | 832.64 Mn |
| Mar 29, 2022 | 793.71 Mn |
| Dec 28, 2021 | 776.69 Mn |
| Sep 28, 2021 | 754.47 Mn |
API Access
Cheesecake Factory Revenue 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=revenue&ticker=CAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();