Starbucks (SBUX) Revenue (2009 - 2026)
Starbucks (SBUX) reported Revenue of $9.32 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 1.4% from $9.46 billion a year earlier and down 2.2% from the prior quarter.
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Analysis
Starbucks (SBUX) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Starbucks' Revenue came in at $38.34 billion, up 4.5% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $37.18 billion, up 2.8% from FY2024.
- Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $36.18 billion in FY2024 (+0.6%), $35.98 billion in FY2023 (+11.6%), $32.25 billion in FY2022 (+11.0%) and $29.06 billion in FY2021 (+23.6%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Revenue since fiscal Q2 2025.
- Year over year, Revenue gained in five of the last eight quarters, with growth averaging 2.6%.
- The high point for year-over-year Revenue in five years was fiscal Q4 2021 (growth of 31.3%); the low point was fiscal Q4 2024 (a decline of 3.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $9.53 billion (Q2 2026), $9.92 billion (Q1 2026) and $9.57 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.68 Bn |
| 10 | Dominos Pizza | 9.98 Bn | 9.32 Bn | 478.23 Mn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 9.32 Bn |
| Mar 29, 2026 | 9.53 Bn |
| Dec 28, 2025 | 9.92 Bn |
| Sep 28, 2025 | 9.57 Bn |
| Jun 29, 2025 | 9.46 Bn |
| Mar 30, 2025 | 8.76 Bn |
| Dec 29, 2024 | 9.40 Bn |
| Sep 29, 2024 | 9.07 Bn |
| Jun 30, 2024 | 9.11 Bn |
| Mar 31, 2024 | 8.56 Bn |
| Dec 31, 2023 | 9.43 Bn |
| Oct 1, 2023 | 9.37 Bn |
| Jul 2, 2023 | 9.17 Bn |
| Apr 2, 2023 | 8.72 Bn |
| Jan 1, 2023 | 8.71 Bn |
| Oct 2, 2022 | 8.41 Bn |
| Jul 3, 2022 | 8.15 Bn |
| Apr 3, 2022 | 7.64 Bn |
| Jan 2, 2022 | 8.05 Bn |
| Oct 3, 2021 | 8.15 Bn |
API Access
Starbucks Revenue 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=revenue&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();