Cheesecake Factory (CAKE) Property, Plant & Equipment (Net) (2009 - 2026)
Cheesecake Factory (CAKE) recorded Property, Plant & Equipment (Net) of $903.98 million in Q2 2026, up 4.6% from $864.54 million a year earlier and up 1.6% from the prior quarter.
Cheesecake Factory (CAKE) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Cheesecake Factory reported Property, Plant & Equipment (Net) of $869.7 million, up 3.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $840.77 million in FY2024 (+6.3%), $791.09 million in FY2023 and $741.75 million in FY2021 (-4.2%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for seven consecutive quarters, with growth averaging 5.4% over the last seven quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 6.9% in Q1 2025, against a decline of 4.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $890.04 million (Q1 2026), $869.7 million (Q4 2025) and $872.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 6.99 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.61 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.87 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.89 Bn |
| 10 | Cheesecake Factory | 5.44 Bn | 4.61 Bn | - | 903.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 903.98 Mn |
| Mar 31, 2026 | 890.04 Mn |
| Dec 30, 2025 | 869.70 Mn |
| Sep 30, 2025 | 872.06 Mn |
| Jul 1, 2025 | 864.54 Mn |
| Apr 1, 2025 | 848.73 Mn |
| Dec 31, 2024 | 840.77 Mn |
| Oct 1, 2024 | 829.39 Mn |
| Jul 2, 2024 | 810.44 Mn |
| Apr 2, 2024 | 793.81 Mn |
| Jan 2, 2024 | 791.09 Mn |
| Oct 3, 2023 | 777.67 Mn |
| Jul 4, 2023 | 770.32 Mn |
| Apr 4, 2023 | 754.90 Mn |
| Jan 3, 2023 | 746.05 Mn |
| Sep 27, 2022 | 755.52 Mn |
| Jun 28, 2022 | 745.25 Mn |
| Mar 29, 2022 | 744.75 Mn |
| Dec 28, 2021 | 741.75 Mn |
| Sep 28, 2021 | 755.64 Mn |
Cheesecake Factory Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();