Cheesecake Factory (CAKE) Accounts Payables (2009 - 2026)
Cheesecake Factory (CAKE) posted Accounts Payables of $70.67 million for Q2 2026, up 19.5% from $59.15 million a year earlier and up 5.6% from the prior quarter.
Cheesecake Factory (CAKE) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Cheesecake Factory's Accounts Payables came in at $62.71 million, up 1.0% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In prior years, Cheesecake Factory's Accounts Payables was $62.09 million in FY2024 (-1.7%), $63.15 million in FY2023 and $54.09 million in FY2021 (-7.4%).
- The Q2 2026 figure stands as the highest quarterly Accounts Payables in data going back to Q4 2009.
- On a year-over-year basis, Accounts Payables has increased in each of the last three quarters, with growth averaging 0.3% over the last seven quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q2 2026, with growth of 19.5%; the weakest was Q3 2021, with a decline of 14.1%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $66.92 million (Q1 2026), $62.71 million (Q4 2025) and $55.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.78 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.19 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 255.13 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 884.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 470.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 884.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.26 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 179.04 Mn |
| 10 | Cheesecake Factory | 5.44 Bn | 4.61 Bn | - | 70.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.67 Mn |
| Mar 31, 2026 | 66.92 Mn |
| Dec 30, 2025 | 62.71 Mn |
| Sep 30, 2025 | 55.55 Mn |
| Jul 1, 2025 | 59.15 Mn |
| Apr 1, 2025 | 63.61 Mn |
| Dec 31, 2024 | 62.09 Mn |
| Oct 1, 2024 | 62.66 Mn |
| Jul 2, 2024 | 68.64 Mn |
| Apr 2, 2024 | 61.38 Mn |
| Jan 2, 2024 | 63.15 Mn |
| Oct 3, 2023 | 53.39 Mn |
| Jul 4, 2023 | 72.68 Mn |
| Apr 4, 2023 | 57.00 Mn |
| Jan 3, 2023 | 66.64 Mn |
| Sep 27, 2022 | 59.03 Mn |
| Jun 28, 2022 | 58.93 Mn |
| Mar 29, 2022 | 61.74 Mn |
| Dec 28, 2021 | 54.09 Mn |
| Sep 28, 2021 | 52.89 Mn |
Cheesecake Factory Accounts Payables 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=accounts-payables&ticker=CAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();