Starbucks (SBUX) Property, Plant & Equipment (Net) (2009 - 2026)
Starbucks (SBUX) posted Property, Plant & Equipment (Net) of $6.94 billion for fiscal Q4 2026 (quarter ended Sep 27, 2026), down 18.2% from $8.49 billion a year earlier and down 0.7% from the prior quarter.
Starbucks (SBUX) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Since fiscal Q3 2009, Starbucks has reported Property, Plant & Equipment (Net) for 69 quarters.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 1.7% (FY2021 to FY2026).
- In prior fiscal years, Starbucks' Property, Plant & Equipment (Net) was $8.49 billion in FY2025 (-2.0%), $8.67 billion in FY2024 (+17.3%), $7.39 billion in FY2023 (+12.6%) and $6.56 billion in FY2022 (+3.0%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last five quarters, with an average decline of 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was fiscal Q4 2024, with growth of 17.3%; the weakest was fiscal Q3 2026, with a decline of 21.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $6.99 billion (Q3 2026), $7.19 billion (Q2 2026) and $7.4 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 6.99 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 1.61 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 3.04 Bn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 2.25 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.25 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 1.89 Bn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 375.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.99 Bn |
| Mar 29, 2026 | 7.19 Bn |
| Dec 28, 2025 | 7.40 Bn |
| Sep 28, 2025 | 8.49 Bn |
| Jun 29, 2025 | 8.89 Bn |
| Mar 30, 2025 | 8.82 Bn |
| Dec 29, 2024 | 8.68 Bn |
| Sep 29, 2024 | 8.67 Bn |
| Jun 30, 2024 | 8.08 Bn |
| Mar 31, 2024 | 7.82 Bn |
| Dec 31, 2023 | 7.61 Bn |
| Oct 1, 2023 | 7.39 Bn |
| Jul 2, 2023 | 7.05 Bn |
| Apr 2, 2023 | 6.82 Bn |
| Jan 1, 2023 | 6.70 Bn |
| Oct 2, 2022 | 6.56 Bn |
| Jul 3, 2022 | 6.41 Bn |
| Apr 3, 2022 | 6.46 Bn |
| Jan 2, 2022 | 6.40 Bn |
| Oct 3, 2021 | 6.37 Bn |
Starbucks 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=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SBUX", "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=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();