Starbucks (SBUX) Shares Outstanding (2009 - 2026)
Starbucks' Shares Outstanding came in at 1.14 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 0.3% from 1.14 billion a year earlier and unchanged from the prior quarter.
Starbucks (SBUX) Shares Outstanding (2009 - 2026) Analysis & Trends
Going back to fiscal Q2 2009, Starbucks' Shares Outstanding data covers 70 quarters.
- Shares Outstanding carries a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding was 1.13 billion in FY2024 (-1.1%), 1.15 billion in FY2023 (-0.6%), 1.15 billion in FY2022 (-2.1%) and 1.18 billion in FY2021 (+0.4%).
- The fiscal Q3 2026 figure represents the highest quarterly Shares Outstanding since fiscal Q4 2023.
- Year-over-year, Shares Outstanding has increased for six consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in fiscal Q4 2021 (growth of 0.4%), and the weakest in fiscal Q3 2022 (a decline of 2.7%).
- Business Quant data shows SBUX's Shares Outstanding at 1.14 billion (Q2 2026), 1.14 billion (Q1 2026) and 1.14 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 275.00 Mn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 348.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 113.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 228.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 65.70 Mn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | 320.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.14 Bn |
| Mar 29, 2026 | 1.14 Bn |
| Dec 28, 2025 | 1.14 Bn |
| Sep 28, 2025 | 1.14 Bn |
| Jun 29, 2025 | 1.14 Bn |
| Mar 30, 2025 | 1.14 Bn |
| Dec 29, 2024 | 1.13 Bn |
| Sep 29, 2024 | 1.13 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Oct 1, 2023 | 1.15 Bn |
| Jul 2, 2023 | 1.15 Bn |
| Apr 2, 2023 | 1.15 Bn |
| Jan 1, 2023 | 1.15 Bn |
| Oct 2, 2022 | 1.15 Bn |
| Jul 3, 2022 | 1.15 Bn |
| Apr 3, 2022 | 1.15 Bn |
| Jan 2, 2022 | 1.17 Bn |
| Oct 3, 2021 | 1.18 Bn |
Starbucks Shares Outstanding 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=shares-outstanding&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();