1 800 Flowers Com (FLWS) Treasury Shares (2011 - 2026)
1 800 Flowers Com (FLWS) recorded Treasury Shares of $209.92 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 0.6% from $208.76 million a year earlier and up 0.2% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Treasury Shares (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, 1 800 Flowers Com's Treasury Shares history includes 49 quarters.
- Annual Treasury Shares has increased for ten straight fiscal years, with a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Across earlier fiscal years, Treasury Shares came in at $208.76 million in FY2025 (+5.1%), $198.59 million in FY2024 (+5.5%), $188.19 million in FY2023 (+0.7%) and $186.95 million in FY2022 (+25.7%).
- The fiscal Q4 2026 figure is the highest quarterly Treasury Shares in data going back to fiscal Q4 2011.
- On a year-over-year basis, Treasury Shares has increased for 11 consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Treasury Shares ranged from 0.5% (fiscal Q3 2026) to 25.7% (fiscal Q4 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $209.59 million (Q3 2026), $209.54 million (Q2 2026) and $208.89 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 7.84 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 806.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 935.88 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 865.08 Mn |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 Mn | 101.81 Mn | 28.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 28.49 Mn |
| Mar 29, 2026 | 28.42 Mn |
| Dec 28, 2025 | 28.40 Mn |
| Sep 28, 2025 | 28.23 Mn |
| Jun 29, 2025 | 28.20 Mn |
| Mar 30, 2025 | 28.15 Mn |
| Dec 29, 2024 | 27.88 Mn |
| Sep 29, 2024 | 27.09 Mn |
| Jun 30, 2024 | 26.93 Mn |
| Mar 31, 2024 | 26.79 Mn |
| Dec 31, 2023 | 26.37 Mn |
| Oct 1, 2023 | 25.86 Mn |
| Jul 2, 2023 | 25.85 Mn |
| Apr 2, 2023 | 25.84 Mn |
| Jan 1, 2023 | 25.84 Mn |
| Oct 2, 2022 | 25.70 Mn |
| Jul 3, 2022 | 25.70 Mn |
| Mar 27, 2022 | 25.44 Mn |
| Dec 26, 2021 | 24.93 Mn |
| Sep 26, 2021 | 24.39 Mn |
API Access
1 800 Flowers Com Treasury Shares 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=treasury-shares&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();