Starbucks (SBUX) Inventory (2009 - 2026)
Starbucks' (SBUX) quarterly Inventory came in at $2.2 billion in Q2 2026, down 2.23% year-over-year from $2.3 billion in Q2 2025, and up 2.37% quarter-over-quarter from $2.2 billion in Q1 2026.
Starbucks (SBUX) Inventory (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported Inventory for 18 consecutive years, with $2.2 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Inventory fell 2.23% year-over-year to $2.2 billion in Q2 2026; TTM through Jun 2026 was $2.2 billion, a 2.23% decrease from a year earlier, with the FY2025 full-year figure at $2.2 billion, up 22.97% from the prior year.
- Inventory was $2.2 billion for Q2 2026 at Starbucks, up from $2.2 billion in the prior quarter.
- Over five years, Inventory peaked at $2.3 billion in Q2 2025 and troughed at $1.6 billion in Q1 2022.
- A 5-year average of $2.0 billion and a median of $2.0 billion in 2023 frame the typical range for Inventory.
- Across the five-year window, Inventory surged 37.77% in 2022 and retreated 21.16% in 2023, its largest moves.
- Over 5 years, Inventory stood at $2.2 billion in 2022, then slipped by 24.36% to $1.6 billion in 2023, then grew by 5.18% to $1.7 billion in 2024, then increased by 22.11% to $2.1 billion in 2025, then increased by 4.47% to $2.2 billion in 2026.
- The last three Inventory figures came in at $2.2 billion (Q2 2026), $2.2 billion (Q1 2026), and $2.1 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 46.62 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 49.69 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 75.06 Mn |
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 |
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_KEY
import 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();