Cheesecake Factory (CAKE) Receivables (2009 - 2026)
Cheesecake Factory (CAKE) posted Receivables of $86.44 million for Q2 2026, down 4.5% from $90.52 million a year earlier but up 11.8% from the prior quarter.
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Analysis
Cheesecake Factory (CAKE) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Cheesecake Factory's Receivables came in at $130.26 million, down 3.9% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Cheesecake Factory's Receivables was $135.58 million in FY2024 (+7.0%), $126.76 million in FY2023 and $125.11 million in FY2021 (+36.1%).
- Quarterly Receivables has run from a low of $66.66 million in Q3 2021 to a high of $135.58 million in Q4 2024 over five years.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with growth averaging 7.4% over the last seven quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2021, with growth of 36.1%; the weakest was Q1 2026, with a decline of 6.7%.
- According to Business Quant data, Receivables for the three prior quarters was $77.31 million (Q1 2026), $130.26 million (Q4 2025) and $93.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 74.14 Mn |
| 10 | Cheesecake Factory | 5.44 Bn | 4.61 Bn | - | 86.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.44 Mn |
| Mar 31, 2026 | 77.31 Mn |
| Dec 30, 2025 | 130.26 Mn |
| Sep 30, 2025 | 93.17 Mn |
| Jul 1, 2025 | 90.52 Mn |
| Apr 1, 2025 | 82.89 Mn |
| Dec 31, 2024 | 135.58 Mn |
| Oct 1, 2024 | 74.34 Mn |
| Jul 2, 2024 | 72.42 Mn |
| Apr 2, 2024 | 75.56 Mn |
| Jan 2, 2024 | 126.76 Mn |
| Oct 3, 2023 | 70.24 Mn |
| Jul 4, 2023 | 71.37 Mn |
| Apr 4, 2023 | 68.46 Mn |
| Jan 3, 2023 | 128.73 Mn |
| Sep 27, 2022 | 67.66 Mn |
| Jun 28, 2022 | 71.34 Mn |
| Mar 29, 2022 | 66.45 Mn |
| Dec 28, 2021 | 125.11 Mn |
| Sep 28, 2021 | 66.66 Mn |
API Access
Cheesecake Factory Receivables 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=receivables&ticker=CAKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();