Starbucks (SBUX) Non-Current Assets (2009 - 2026)
Starbucks' Non-Current Assets was $20.76 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 17.7% from $25.23 billion a year earlier but up 3.8% from the prior quarter.
Starbucks (SBUX) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Non-Current Assets at Starbucks came in at $24.64 billion, up 0.6% from FY2024.
- Non-Current Assets has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Assets was $24.49 billion in FY2024 (+10.6%), $22.14 billion in FY2023 (+5.6%), $20.96 billion in FY2022 (-3.1%) and $21.64 billion in FY2021 (+0.3%).
- Quarterly Non-Current Assets has moved between $20 billion (fiscal Q2 2026) and $25.23 billion (fiscal Q3 2025) over five years.
- Compared with a year earlier, Non-Current Assets has declined for three straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q4 2024 (growth of 10.6%); the worst was fiscal Q2 2026 (a decline of 19.7%).
- Per Business Quant data, SBUX's Non-Current Assets in the three fiscal quarters before Q3 2026 was $20 billion (Q2 2026), $20.21 billion (Q1 2026) and $24.64 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.31 Bn |
| 10 | Dominos Pizza | 9.98 Bn | 9.32 Bn | 478.23 Mn | 857.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 20.76 Bn |
| Mar 29, 2026 | 20.00 Bn |
| Dec 28, 2025 | 20.21 Bn |
| Sep 28, 2025 | 24.64 Bn |
| Jun 29, 2025 | 25.23 Bn |
| Mar 30, 2025 | 24.92 Bn |
| Dec 29, 2024 | 24.61 Bn |
| Sep 29, 2024 | 24.49 Bn |
| Jun 30, 2024 | 23.30 Bn |
| Mar 31, 2024 | 22.90 Bn |
| Dec 31, 2023 | 22.61 Bn |
| Oct 1, 2023 | 22.14 Bn |
| Jul 2, 2023 | 21.56 Bn |
| Apr 2, 2023 | 21.56 Bn |
| Jan 1, 2023 | 21.32 Bn |
| Oct 2, 2022 | 20.96 Bn |
| Jul 3, 2022 | 21.09 Bn |
| Apr 3, 2022 | 21.48 Bn |
| Jan 2, 2022 | 21.58 Bn |
| Oct 3, 2021 | 21.64 Bn |
Starbucks Non-Current Assets 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=non-current-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();