1 800 Flowers Com (FLWS) Shares Outstanding (Entity) (2010 - 2026)
1 800 Flowers Com's Shares Outstanding (Entity) came in at 63.91 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 0.2% from 63.81 million a year earlier but down 0.2% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, 1 800 Flowers Com's Shares Outstanding (Entity) data covers 59 quarters.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of -5.3% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Entity) was 63.81 million in FY2025 (-30.0%), 91.14 million in FY2024 (+6.8%), 85.34 million in FY2023 (+22.2%) and 69.82 million in FY2022 (-16.7%).
- The five-year range for quarterly Shares Outstanding (Entity) is 58.74 million (fiscal Q2 2024) to 91.63 million (fiscal Q2 2025).
- Year-over-year, Shares Outstanding (Entity) increased in four of the last eight quarters, with an average decline of 7.0%.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in fiscal Q2 2025 (growth of 56.0%), and the weakest in fiscal Q1 2025 (a decline of 35.1%).
- Business Quant data shows FLWS's Shares Outstanding (Entity) at 64.07 million (Q3 2026), 63.82 million (Q2 2026) and 63.63 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 998.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 561.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.33 Mn |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 Mn | 101.81 Mn | 63.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 63.91 Mn |
| Mar 29, 2026 | 64.07 Mn |
| Dec 28, 2025 | 63.82 Mn |
| Sep 28, 2025 | 63.63 Mn |
| Jun 29, 2025 | 63.81 Mn |
| Mar 30, 2025 | 63.60 Mn |
| Dec 29, 2024 | 91.63 Mn |
| Sep 29, 2024 | 58.80 Mn |
| Jun 30, 2024 | 91.14 Mn |
| Mar 31, 2024 | 85.85 Mn |
| Dec 31, 2023 | 58.74 Mn |
| Oct 1, 2023 | 90.66 Mn |
| Jul 2, 2023 | 85.34 Mn |
| Apr 2, 2023 | 85.33 Mn |
| Jan 1, 2023 | 85.32 Mn |
| Oct 2, 2022 | 84.96 Mn |
| Jul 3, 2022 | 69.82 Mn |
| Mar 27, 2022 | 90.23 Mn |
| Dec 26, 2021 | 90.21 Mn |
| Sep 26, 2021 | 89.53 Mn |
API Access
1 800 Flowers Com 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=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "FLWS", "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=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();