Starbucks (SBUX) Other Non-Current Assets (2009 - 2026)
Starbucks' Other Non-Current Assets was $857.2 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 27.1% from $674.3 million a year earlier but down 83.0% from the prior quarter.
Starbucks (SBUX) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Other Non-Current Assets at Starbucks came in at $752.5 million, up 22.0% from FY2024.
- Other Non-Current Assets shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Assets was $617 million in FY2024 (+12.9%), $546.5 million in FY2023 (-1.4%), $554.2 million in FY2022 (-4.2%) and $578.5 million in FY2021 (+1.7%).
- Quarterly Other Non-Current Assets has moved between $526.7 million (fiscal Q2 2023) and $5.04 billion (fiscal Q2 2026) over five years.
- Compared with a year earlier, Other Non-Current Assets was higher in five of the last six quarters, with growth averaging 114.6%.
- The best year-over-year quarter for Other Non-Current Assets over five years was fiscal Q2 2026 (growth of 607.3%); the worst was fiscal Q3 2023 (a decline of 15.5%).
- Per Business Quant data, SBUX's Other Non-Current Assets in the three fiscal quarters before Q3 2026 was $5.04 billion (Q2 2026), $4.72 billion (Q1 2026) and $752.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.13 Bn | 166.95 Bn | 6.42 Bn | 19.03 Bn |
| 2 | Starbucks | 109.42 Bn | 97.05 Bn | - | 857.20 Mn |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn | 2.38 Bn |
| 4 | Chipotle Mexican Grill | 39.34 Bn | 35.32 Bn | - | 169.59 Mn |
| 5 | Restaurant Brands International | 25.76 Bn | 21.31 Bn | 1.38 Bn | 1.36 Bn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | 432.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.36 Bn |
| 8 | Yum China Holdings | 15.60 Bn | 9.26 Bn | 537.00 Mn | 374.00 Mn |
| 9 | Texas Roadhouse | 11.23 Bn | 10.57 Bn | - | 179.97 Mn |
| 10 | Luckin Coffee | 10.65 Bn | 9.74 Bn | - | 138.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 857.20 Mn |
| Mar 29, 2026 | 5.86 Bn |
| Dec 28, 2025 | 5.50 Bn |
| Sep 28, 2025 | 752.50 Mn |
| Jun 29, 2025 | 674.30 Mn |
| Mar 30, 2025 | 713.10 Mn |
| Sep 29, 2024 | 617.00 Mn |
| Jun 30, 2024 | 693.70 Mn |
| Mar 31, 2024 | 587.20 Mn |
| Dec 31, 2023 | 531.10 Mn |
| Oct 1, 2023 | 546.50 Mn |
| Jul 2, 2023 | 541.70 Mn |
| Apr 2, 2023 | 526.70 Mn |
| Jan 1, 2023 | 527.60 Mn |
| Oct 2, 2022 | 554.20 Mn |
| Jul 3, 2022 | 640.70 Mn |
| Apr 3, 2022 | 582.80 Mn |
| Jan 2, 2022 | 588.00 Mn |
| Oct 3, 2021 | 578.50 Mn |
| Jun 27, 2021 | 586.30 Mn |
Starbucks Other 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=other-non-current-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();