Starbucks (SBUX) Change in Property, Plant and Equipment (2009 - 2026)
Starbucks (SBUX) recorded Change in Property, Plant and Equipment of -$291.4 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), compared with -$567.4 million a year earlier.
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Analysis
Starbucks (SBUX) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
On a TTM basis, Starbucks' Change in Property, Plant and Equipment came in at -$1.34 billion as of Jun 28, 2026; for FY2025 (ended Sep 28, 2025), it was -$2.3 billion.
- Across earlier fiscal years, Change in Property, Plant and Equipment came in at -$2.77 billion in FY2024, -$2.22 billion in FY2023, -$1.77 billion in FY2022 and -$1.33 billion in FY2021.
- Quarterly Change in Property, Plant and Equipment has ranged from -$787.9 million in fiscal Q4 2024 to -$272.7 million in fiscal Q2 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$272.7 million (Q2 2026), -$323.7 million (Q1 2026) and -$456 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | -768.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | -291.40 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | -99.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | -243.00 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | -51.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | -171.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -51.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | -127.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | -98.68 Mn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | -9.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -291.40 Mn |
| Mar 29, 2026 | -272.70 Mn |
| Dec 28, 2025 | -323.70 Mn |
| Sep 28, 2025 | -456.00 Mn |
| Jun 29, 2025 | -567.40 Mn |
| Mar 30, 2025 | -589.20 Mn |
| Dec 29, 2024 | -692.90 Mn |
| Sep 29, 2024 | -787.90 Mn |
| Jun 30, 2024 | -724.30 Mn |
| Mar 31, 2024 | -659.10 Mn |
| Dec 31, 2023 | -595.90 Mn |
| Oct 1, 2023 | -699.50 Mn |
| Jul 2, 2023 | -632.10 Mn |
| Apr 2, 2023 | -375.20 Mn |
| Jan 1, 2023 | -516.80 Mn |
| Oct 2, 2022 | -473.30 Mn |
| Jul 3, 2022 | -423.50 Mn |
| Apr 3, 2022 | -455.10 Mn |
| Jan 2, 2022 | -416.80 Mn |
| Oct 3, 2021 | -484.30 Mn |
API Access
Starbucks Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();