Bloomin' Brands (BLMN) Shares Outstanding (Diluted) (2011 - 2026)
Bloomin' Brands (BLMN) posted Shares Outstanding (Diluted) of 86.22 million for Q2 2026, up 1.3% from 85.14 million a year earlier and up 0.6% from the prior quarter.
Bloomin' Brands (BLMN) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Bloomin' Brands' Shares Outstanding (Diluted) came in at 85.31 million, down 0.7% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for four consecutive years, with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Bloomin' Brands' Shares Outstanding (Diluted) was 85.91 million in FY2024 (-10.9%), 96.45 million in FY2023 (-2.1%), 98.51 million in FY2022 (-8.6%) and 107.8 million in FY2021 (+23.2%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since Q2 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in two of the last eight quarters, with an average decline of 3.7%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q4 2021, with growth of 23.2%; the weakest was Q2 2022, with a decline of 19.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 85.75 million (Q1 2026), 85.31 million (Q4 2025) and 85.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 176.15 Bn | 170.97 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 114.02 Bn | 101.64 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 41.75 Bn | 38.63 Bn | 1.47 Bn | 277.00 Mn |
| 4 | Chipotle Mexican Grill | 35.86 Bn | 31.84 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 26.09 Bn | 21.65 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 15.53 Bn | 9.19 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 11.01 Bn | 10.35 Bn | - | 65.92 Mn |
| 10 | Bloomin' Brands | 871.42 Mn | 607.57 Mn | 709.41 Mn | 86.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 86.22 Mn |
| Mar 29, 2026 | 85.75 Mn |
| Dec 28, 2025 | 85.31 Mn |
| Sep 28, 2025 | 85.09 Mn |
| Jun 29, 2025 | 85.14 Mn |
| Mar 30, 2025 | 85.13 Mn |
| Dec 29, 2024 | 85.91 Mn |
| Sep 29, 2024 | 86.16 Mn |
| Jun 30, 2024 | 88.63 Mn |
| Mar 31, 2024 | 87.02 Mn |
| Dec 31, 2023 | 96.45 Mn |
| Sep 24, 2023 | 98.55 Mn |
| Jun 25, 2023 | 97.40 Mn |
| Mar 26, 2023 | 98.01 Mn |
| Dec 25, 2022 | 98.51 Mn |
| Sep 25, 2022 | 94.74 Mn |
| Jun 26, 2022 | 88.90 Mn |
| Mar 27, 2022 | 103.45 Mn |
| Dec 26, 2021 | 107.80 Mn |
| Sep 26, 2021 | 107.78 Mn |
Bloomin' Brands Shares Outstanding (Diluted) 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-diluted&ticker=BLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BLMN", "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-diluted&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();