1 800 Flowers Com (FLWS) Shares Outstanding (2010 - 2026)
1 800 Flowers Com (FLWS) recorded Shares Outstanding of 63.91 million in 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 (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, 1 800 Flowers Com's Shares Outstanding history includes 59 quarters.
- Annual Shares Outstanding has a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 63.81 million in FY2025 (-1.2%), 64.59 million in FY2024 (-0.2%), 64.69 million in FY2023 (-0.4%) and 64.98 million in FY2022 (+0.4%).
- Quarterly Shares Outstanding has ranged from 63.6 million in fiscal Q3 2025 to 65.26 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding rose in two of the last eight quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 0.7% in fiscal Q3 2026, against a decline of 1.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 64.07 million (Q3 2026), 63.82 million (Q2 2026) and 63.63 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,701.30 Bn | 2,217.99 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 323.28 Bn | 316.52 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 162.63 Bn | 140.18 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 113.50 Bn | 106.47 Bn | 8.58 Bn | 559.00 Mn |
| 5 | O Reilly Automotive | 75.35 Bn | 74.44 Bn | 2.52 Bn | 825.20 Mn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 317.69 Mn |
| 7 | Target | 70.02 Bn | 64.61 Bn | 8.94 Bn | 454.40 Mn |
| 8 | Autozone | 53.32 Bn | 52.22 Bn | 2.52 Bn | 16.47 Mn |
| 9 | Carvana | 42.29 Bn | 32.78 Bn | 1.38 Bn | 717.69 Mn |
| 10 | 1 800 Flowers Com | 171.83 Mn | -91.31 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 | 63.84 Mn |
| Sep 29, 2024 | 64.20 Mn |
| Jun 30, 2024 | 64.59 Mn |
| Mar 31, 2024 | 64.49 Mn |
| Dec 31, 2023 | 64.84 Mn |
| Oct 1, 2023 | 64.79 Mn |
| Jul 2, 2023 | 64.69 Mn |
| Apr 2, 2023 | 64.77 Mn |
| Jan 1, 2023 | 64.68 Mn |
| Oct 2, 2022 | 64.54 Mn |
| Jul 3, 2022 | 64.98 Mn |
| Mar 27, 2022 | 65.03 Mn |
| Dec 26, 2021 | 65.26 Mn |
| Sep 26, 2021 | 65.06 Mn |
API Access
1 800 Flowers Com 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=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();