Cheesecake Factory (CAKE) Finished Goods (2010 - 2026)
Cheesecake Factory's (CAKE) quarterly Finished Goods came in at $13.1 million in Q2 2026, down 41.58% year-over-year from $22.4 million in Q2 2025, and down 5.64% quarter-over-quarter from $13.9 million in Q1 2026.
Cheesecake Factory (CAKE) Finished Goods (2010 - 2026) Analysis & Trends
Cheesecake Factory has disclosed Finished Goods across 17 years of filings, most recently posting $13.1 million for Q2 2026.
- In Q2 2026, Finished Goods fell 41.58% year-over-year to $13.1 million; the TTM figure through Jun 2026 stood at $13.1 million (down 41.58% YoY), while the FY2025 annual figure was $14.9 million, down 26.29% from the prior year.
- Finished Goods came in at $13.1 million for Q2 2026 at Cheesecake Factory, down from $13.9 million in the prior quarter.
- In the past five years, Finished Goods ranged from a high of $28.7 million in Q4 2024 to a low of $11.9 million in Q1 2022.
- Average Finished Goods over 5 years is $19.6 million, with a median of $19.2 million recorded in 2023.
- Year-over-year, Finished Goods jumped 139.79% in 2022 and plunged 41.58% in 2026.
- Over 5 years, Finished Goods stood at $25.1 million in 2022, then declined by 24.89% to $18.9 million in 2023, then climbed by 7.03% to $20.2 million in 2024, then dropped by 26.29% to $14.9 million in 2025, then slipped by 12.16% to $13.1 million in 2026.
- Per Business Quant data, the three most recent Finished Goods figures were $13.1 million in Q2 2026, $13.9 million in Q1 2026, and $14.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Cheesecake Factory | 5.20 Bn | 5.00 Bn | 756.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.09 Mn |
| Mar 31, 2026 | 13.87 Mn |
| Dec 30, 2025 | 14.90 Mn |
| Sep 30, 2025 | 19.46 Mn |
| Jul 1, 2025 | 22.40 Mn |
| Apr 1, 2025 | 23.41 Mn |
| Dec 31, 2024 | 20.21 Mn |
| Oct 1, 2024 | 28.65 Mn |
| Jul 2, 2024 | 28.64 Mn |
| Apr 2, 2024 | 23.05 Mn |
| Jan 2, 2024 | 16.23 Mn |
| Oct 3, 2023 | 18.88 Mn |
| Jul 4, 2023 | 21.13 Mn |
| Apr 4, 2023 | 18.70 Mn |
| Jan 3, 2023 | 17.25 Mn |
| Sep 27, 2022 | 25.14 Mn |
| Jun 28, 2022 | 15.77 Mn |
| Mar 29, 2022 | 11.91 Mn |
| Dec 28, 2021 | 7.95 Mn |
| Sep 28, 2021 | 10.48 Mn |
Cheesecake Factory Finished Goods 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=finished-goods&ticker=CAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();