Cheesecake Factory (CAKE) Inventory (2009 - 2026)
Cheesecake Factory's Inventory was $50.51 million in Q2 2026, down 23.9% from $66.41 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Cheesecake Factory (CAKE) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Cheesecake Factory came in at $53.97 million, down 16.4% from FY2024.
- Inventory shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Inventory was $64.53 million in FY2024 (+11.9%), $57.65 million in FY2023 and $42.84 million in FY2021 (+9.0%).
- The Q2 2026 figure marks the lowest quarterly Inventory since Q4 2021.
- Compared with a year earlier, Inventory has declined for five straight quarters, with an average decline of 9.5% over the last seven quarters.
- The best year-over-year quarter for Inventory over five years was Q3 2021 (growth of 14.7%); the worst was Q1 2026 (a decline of 24.4%).
- Per Business Quant data, CAKE's Inventory in the three quarters before Q2 2026 was $50.56 million (Q1 2026), $53.97 million (Q4 2025) and $63.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 48.87 Mn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 237.00 Mn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 237.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 49.69 Mn |
| 10 | Cheesecake Factory | 5.41 Bn | 4.51 Bn | - | 51.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2026 | 51.87 Mn |
| Jun 30, 2026 | 50.51 Mn |
| Mar 31, 2026 | 50.56 Mn |
| Dec 30, 2025 | 53.97 Mn |
| Sep 30, 2025 | 63.41 Mn |
| Jul 1, 2025 | 66.41 Mn |
| Apr 1, 2025 | 66.90 Mn |
| Dec 31, 2024 | 64.53 Mn |
| Oct 1, 2024 | 69.81 Mn |
| Jul 2, 2024 | 70.99 Mn |
| Apr 2, 2024 | 65.47 Mn |
| Jan 2, 2024 | 57.65 Mn |
| Oct 3, 2023 | 58.67 Mn |
| Jul 4, 2023 | 60.87 Mn |
| Apr 4, 2023 | 58.99 Mn |
| Jan 3, 2023 | 55.56 Mn |
| Sep 27, 2022 | 62.28 Mn |
| Jun 28, 2022 | 52.29 Mn |
| Mar 29, 2022 | 46.68 Mn |
| Dec 28, 2021 | 42.84 Mn |
API Access
Cheesecake Factory Inventory 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=inventory&ticker=CAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();