Starbucks (SBUX) Prepaid Assets (2009 - 2026)
Starbucks' Prepaid Assets came in at $386.3 million for fiscal Q4 2026 (quarter ended Sep 27, 2026), down 14.6% from $452.2 million a year earlier and down 6.0% from the prior quarter.
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Analysis
Starbucks (SBUX) Prepaid Assets (2009 - 2026) Analysis & Trends
Going back to fiscal Q3 2009, Starbucks' Prepaid Assets data covers 70 quarters.
- Prepaid Assets carries a five-year compound annual growth rate of -8.3% (FY2021 to FY2026).
- Going back by fiscal year, Prepaid Assets was $452.2 million in FY2025 (+44.4%), $313.1 million in FY2024 (-13.0%), $359.9 million in FY2023 (-25.6%) and $483.7 million in FY2022 (-18.7%).
- The five-year range for quarterly Prepaid Assets is $313.1 million (fiscal Q4 2024) to $623.7 million (fiscal Q2 2022).
- Year-over-year, Prepaid Assets has declined for three consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in fiscal Q4 2025 (growth of 44.4%), and the weakest in fiscal Q2 2023 (a decline of 34.5%).
- Business Quant data shows SBUX's Prepaid Assets at $410.8 million (Q3 2026), $368.8 million (Q2 2026) and $374.1 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 410.80 Mn |
| Mar 29, 2026 | 368.80 Mn |
| Dec 28, 2025 | 374.10 Mn |
| Sep 28, 2025 | 452.20 Mn |
| Jun 29, 2025 | 413.80 Mn |
| Mar 30, 2025 | 500.10 Mn |
| Dec 29, 2024 | 354.40 Mn |
| Sep 29, 2024 | 313.10 Mn |
| Jun 30, 2024 | 415.80 Mn |
| Mar 31, 2024 | 484.10 Mn |
| Dec 31, 2023 | 374.70 Mn |
| Oct 1, 2023 | 359.90 Mn |
| Jul 2, 2023 | 423.50 Mn |
| Apr 2, 2023 | 408.60 Mn |
| Jan 1, 2023 | 373.50 Mn |
| Oct 2, 2022 | 483.70 Mn |
| Jul 3, 2022 | 534.10 Mn |
| Apr 3, 2022 | 623.70 Mn |
| Jan 2, 2022 | 530.10 Mn |
| Oct 3, 2021 | 594.60 Mn |
API Access
Starbucks Prepaid 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=prepaid-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();