Starbucks (SBUX) Shares Outstanding (Entity) (2009 - 2026)
Starbucks (SBUX) reported Shares Outstanding (Entity) of 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 (Entity) (2009 - 2026) Analysis & Trends
Dating back to fiscal Q2 2009, Starbucks' Shares Outstanding (Entity) record includes 70 quarters.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding (Entity) came in at 1.13 billion in FY2024 (-0.8%), 1.14 billion in FY2023 (-0.5%), 1.15 billion in FY2022 (-2.7%) and 1.18 billion in FY2021 (+0.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) since fiscal Q4 2023.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last seven quarters, with growth averaging 0.2% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was fiscal Q4 2021 (growth of 0.6%); the low point was fiscal Q4 2022 (a decline of 2.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 1.14 billion (Q2 2026), 1.14 billion (Q1 2026) and 1.14 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 707.64 Mn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 272.90 Mn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 1.27 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 349.21 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 113.14 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 229.85 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 345.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 65.59 Mn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | 269.77 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 | 1.14 Bn |
| Sep 29, 2024 | 1.13 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.13 Bn |
| Oct 1, 2023 | 1.14 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 | 1.15 Bn |
| Oct 3, 2021 | 1.18 Bn |
Starbucks Shares Outstanding (Entity) 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-entity&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();