Starbucks (SBUX) Consolidated Net Income (2009 - 2026)
Starbucks (SBUX) reported Consolidated Net Income of $1.04 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 87.1% from $558.5 million a year earlier and up 104.6% from the prior quarter.
Starbucks (SBUX) Consolidated Net Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Starbucks' Consolidated Net Income came in at $1.98 billion, down 24.7% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $1.86 billion, down 50.6% from FY2024.
- Consolidated Net Income has a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- By fiscal year, Consolidated Net Income came in at $3.76 billion in FY2024 (-8.8%), $4.12 billion in FY2023 (+25.6%), $3.28 billion in FY2022 (-21.8%) and $4.2 billion in FY2021 (+354.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Consolidated Net Income since fiscal Q3 2024.
- Year over year, Consolidated Net Income gained in two of the last eight quarters, with an average decline of 21.8%.
- The high point for year-over-year Consolidated Net Income in five years was fiscal Q4 2021 (growth of 349.4%); the low point was fiscal Q4 2025 (a decline of 85.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $510.8 million (Q2 2026), $293.2 million (Q1 2026) and $133.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.75 Bn | 166.57 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 109.77 Bn | 97.39 Bn | - | 1.04 Bn |
| 3 | Yum Brands | 41.45 Bn | 38.34 Bn | 1.47 Bn | 853.00 Mn |
| 4 | Chipotle Mexican Grill | 39.14 Bn | 35.12 Bn | - | 403.55 Mn |
| 5 | Restaurant Brands International | 25.78 Bn | 21.34 Bn | 1.38 Bn | 665.00 Mn |
| 6 | Darden Restaurants | 24.33 Bn | 23.43 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 665.00 Mn |
| 8 | Yum China Holdings | 15.56 Bn | 9.22 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 124.51 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.04 Bn |
| Mar 29, 2026 | 510.80 Mn |
| Dec 28, 2025 | 293.20 Mn |
| Sep 28, 2025 | 133.20 Mn |
| Jun 29, 2025 | 558.50 Mn |
| Mar 30, 2025 | 384.10 Mn |
| Dec 29, 2024 | 780.90 Mn |
| Sep 29, 2024 | 909.60 Mn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 772.50 Mn |
| Dec 31, 2023 | 1.02 Bn |
| Oct 1, 2023 | 1.22 Bn |
| Jul 2, 2023 | 1.14 Bn |
| Apr 2, 2023 | 908.30 Mn |
| Jan 1, 2023 | 855.20 Mn |
| Oct 2, 2022 | 878.60 Mn |
| Jul 3, 2022 | 913.70 Mn |
| Apr 3, 2022 | 675.00 Mn |
| Jan 2, 2022 | 816.10 Mn |
| Oct 3, 2021 | 1.76 Bn |
Starbucks Consolidated Net Income 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=consolidated-net-income&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();