Starbucks (SBUX) Operating Leases (2019 - 2026)
Starbucks (SBUX) reported Operating Leases of $7.88 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 13.1% from $9.07 billion a year earlier and down 1.5% from the prior quarter.
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Analysis
Starbucks (SBUX) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Starbucks posted Operating Leases of $8.97 billion, up 2.3% from FY2024.
- Operating Leases has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $8.77 billion in FY2024 (+10.7%), $7.92 billion in FY2023 (+5.5%), $7.52 billion in FY2022 (-2.9%) and $7.74 billion in FY2021 (+1.0%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Leases since fiscal Q3 2023.
- Year over year, Operating Leases has now declined in each of the last three quarters, with growth averaging 1.0% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q4 2024 (growth of 10.7%); the low point was fiscal Q3 2026 (a decline of 13.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $8.01 billion (Q2 2026), $8.05 billion (Q1 2026) and $8.97 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.88 Bn |
| Mar 29, 2026 | 8.01 Bn |
| Dec 28, 2025 | 8.05 Bn |
| Sep 28, 2025 | 8.97 Bn |
| Jun 29, 2025 | 9.07 Bn |
| Mar 30, 2025 | 8.96 Bn |
| Dec 29, 2024 | 8.86 Bn |
| Sep 29, 2024 | 8.77 Bn |
| Jun 30, 2024 | 8.30 Bn |
| Mar 31, 2024 | 8.18 Bn |
| Dec 31, 2023 | 8.14 Bn |
| Oct 1, 2023 | 7.92 Bn |
| Jul 2, 2023 | 7.69 Bn |
| Apr 2, 2023 | 7.75 Bn |
| Jan 1, 2023 | 7.64 Bn |
| Oct 2, 2022 | 7.52 Bn |
| Jul 3, 2022 | 7.55 Bn |
| Apr 3, 2022 | 7.67 Bn |
| Jan 2, 2022 | 7.71 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();