Starbucks (SBUX) Operating Leases (2019 - 2026)
Starbucks' (SBUX) quarterly Operating Leases came in at $9.2 billion in Q2 2026, down 13.36% year-over-year from $10.6 billion in Q2 2025, and down 1.65% quarter-over-quarter from $9.3 billion in Q1 2026.
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Analysis
Starbucks (SBUX) Operating Leases (2019 - 2026) Analysis & Trends
Starbucks (SBUX) has reported Operating Leases for 8 consecutive years, with $9.2 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Leases fell 13.36% year-over-year to $9.2 billion in Q2 2026; TTM through Jun 2026 was $9.2 billion, a 13.36% decrease from a year earlier, with the FY2025 full-year figure at $9.0 billion, up 2.29% from the prior year.
- Operating Leases was $9.2 billion for Q2 2026 at Starbucks, down from $9.3 billion in the prior quarter.
- Over five years, Operating Leases peaked at $10.6 billion in Q2 2025 and troughed at $7.5 billion in Q4 2022.
- A 5-year average of $9.2 billion and a median of $9.0 billion in 2023 frame the typical range for Operating Leases.
- Across the five-year window, Operating Leases climbed 10.69% in 2024 and fell 13.36% in 2026, its largest moves.
- Over 5 years, Operating Leases stood at $7.5 billion in 2022, then grew by 25.72% to $9.4 billion in 2023, then grew by 9.12% to $10.3 billion in 2024, then dropped by 8.92% to $9.4 billion in 2025, then slipped by 2.5% to $9.2 billion in 2026.
- The last three Operating Leases figures came in at $9.2 billion (Q2 2026), $9.3 billion (Q1 2026), and $9.4 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 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 |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 9.16 Bn |
| Mar 29, 2026 | 9.31 Bn |
| Dec 28, 2025 | 9.39 Bn |
| Sep 28, 2025 | 8.97 Bn |
| Jun 29, 2025 | 10.57 Bn |
| Mar 30, 2025 | 10.44 Bn |
| Dec 29, 2024 | 10.31 Bn |
| Sep 29, 2024 | 8.77 Bn |
| Jun 30, 2024 | 9.72 Bn |
| Mar 31, 2024 | 9.59 Bn |
| Dec 31, 2023 | 9.45 Bn |
| Oct 1, 2023 | 7.92 Bn |
| Jul 2, 2023 | 8.96 Bn |
| Apr 2, 2023 | 9.02 Bn |
| Jan 1, 2023 | 8.89 Bn |
| Oct 2, 2022 | 7.52 Bn |
| Jul 3, 2022 | 8.77 Bn |
| Apr 3, 2022 | 8.90 Bn |
| Jan 2, 2022 | 8.96 Bn |
| Oct 3, 2021 | 7.74 Bn |
API Access
Starbucks Operating Leases 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=operating-leases&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();