Cheesecake Factory (CAKE) Cash & Equivalents (2009 - 2026)
Cheesecake Factory (CAKE) recorded Cash & Equivalents of $249.27 million in Q3 2026, up 31.2% from $189.98 million a year earlier and up 27.7% from the prior quarter.
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Analysis
Cheesecake Factory (CAKE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cheesecake Factory reported Cash & Equivalents of $215.73 million, up 156.3% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $84.18 million in FY2024 (+49.5%), $56.29 million in FY2023 and $189.63 million in FY2021 (+23.1%).
- The Q3 2026 figure is the highest quarterly Cash & Equivalents since Q2 2020.
- On a year-over-year basis, Cash & Equivalents has increased for eight consecutive quarters, with growth averaging 124.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Cash & Equivalents ran from 23.1% in Q4 2021 to 265.9% in Q2 2025.
- Per Business Quant, the preceding three quarters came in at $195.17 million (Q2 2026), $235.09 million (Q1 2026) and $215.73 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 634.21 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 202.43 Mn |
| 10 | Cheesecake Factory | 4.99 Bn | 4.10 Bn | - | 249.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2026 | 249.27 Mn |
| Jun 30, 2026 | 195.17 Mn |
| Mar 31, 2026 | 235.09 Mn |
| Dec 30, 2025 | 215.73 Mn |
| Sep 30, 2025 | 189.98 Mn |
| Jul 1, 2025 | 148.76 Mn |
| Apr 1, 2025 | 135.41 Mn |
| Dec 31, 2024 | 84.18 Mn |
| Oct 1, 2024 | 52.22 Mn |
| Jul 2, 2024 | 40.65 Mn |
| Apr 2, 2024 | 60.22 Mn |
| Jan 2, 2024 | 56.29 Mn |
| Oct 3, 2023 | 63.99 Mn |
| Jul 4, 2023 | 91.56 Mn |
| Apr 4, 2023 | 116.16 Mn |
| Jan 3, 2023 | 114.78 Mn |
| Sep 27, 2022 | 133.16 Mn |
| Jun 28, 2022 | 194.89 Mn |
| Mar 29, 2022 | 183.56 Mn |
| Dec 28, 2021 | 189.63 Mn |
API Access
Cheesecake Factory Cash & Equivalents 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=cash-and-equivalents&ticker=CAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();