Starbucks (SBUX) Inventory (2009 - 2026)
Starbucks (SBUX) posted Inventory of $2.24 billion for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 2.6% from $2.19 billion a year earlier and up 1.6% from the prior quarter.
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Analysis
Starbucks (SBUX) Inventory (2009 - 2026) Analysis & Trends
Since fiscal Q3 2009, Starbucks has reported Inventory for 70 quarters.
- Annual Inventory shows a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- In prior fiscal years, Starbucks' Inventory was $2.19 billion in FY2025 (+23.0%), $1.78 billion in FY2024 (-1.6%), $1.81 billion in FY2023 (-17.0%) and $2.18 billion in FY2022 (+35.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Inventory since fiscal Q3 2025.
- On a year-over-year basis, Inventory increased in seven of the last eight quarters, with growth averaging 11.9%.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q3 2022, with growth of 37.8%; the weakest was fiscal Q1 2024, with a decline of 21.2%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $2.21 billion (Q3 2026), $2.16 billion (Q2 2026) and $2.11 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 48.87 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 237.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 237.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 49.69 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 89.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.21 Bn |
| Mar 29, 2026 | 2.16 Bn |
| Dec 28, 2025 | 2.11 Bn |
| Sep 28, 2025 | 2.19 Bn |
| Jun 29, 2025 | 2.26 Bn |
| Mar 30, 2025 | 2.05 Bn |
| Dec 29, 2024 | 1.73 Bn |
| Sep 29, 2024 | 1.78 Bn |
| Jun 30, 2024 | 1.85 Bn |
| Mar 31, 2024 | 1.74 Bn |
| Dec 31, 2023 | 1.65 Bn |
| Oct 1, 2023 | 1.81 Bn |
| Jul 2, 2023 | 1.99 Bn |
| Apr 2, 2023 | 2.00 Bn |
| Jan 1, 2023 | 2.09 Bn |
| Oct 2, 2022 | 2.18 Bn |
| Jul 3, 2022 | 2.13 Bn |
| Apr 3, 2022 | 1.92 Bn |
| Jan 2, 2022 | 1.64 Bn |
| Oct 3, 2021 | 1.60 Bn |
API Access
Starbucks Inventory 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=inventory&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();