1 800 Flowers Com (FLWS) Enterprise Value (2010 - 2026)
1 800 Flowers Com (FLWS) recorded Enterprise Value of $216.16 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 23.0% from $280.83 million a year earlier but up 46.1% from the prior quarter.
Powered by 
Analysis
1 800 Flowers Com (FLWS) Enterprise Value (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, 1 800 Flowers Com's Enterprise Value history includes 59 quarters.
- Annual Enterprise Value has a five-year compound annual growth rate of -39.4% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $280.83 million in FY2025 (-60.3%), $708.22 million in FY2024 (+31.4%), $538.86 million in FY2023 (-15.6%) and $638.09 million in FY2022 (-75.9%).
- Quarterly Enterprise Value has ranged from $65.12 million in fiscal Q2 2026 to $1.75 billion in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for six consecutive quarters, with an average decline of 37.1% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 45.0% in fiscal Q2 2025, against a decline of 86.0% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $147.91 million (Q3 2026), $65.12 million (Q2 2026) and $295.77 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | 1 800 Flowers Com | 166.17 Mn | -96.98 Mn | 101.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 216.16 Mn |
| Mar 29, 2026 | 147.91 Mn |
| Dec 28, 2025 | 65.12 Mn |
| Sep 28, 2025 | 295.77 Mn |
| Jun 29, 2025 | 280.83 Mn |
| Mar 30, 2025 | 287.36 Mn |
| Dec 29, 2024 | 465.66 Mn |
| Sep 29, 2024 | 459.63 Mn |
| Jun 30, 2024 | 708.22 Mn |
| Mar 31, 2024 | 745.79 Mn |
| Dec 31, 2023 | 321.24 Mn |
| Oct 1, 2023 | 626.23 Mn |
| Jul 2, 2023 | 538.86 Mn |
| Apr 2, 2023 | 929.68 Mn |
| Jan 1, 2023 | 625.98 Mn |
| Oct 2, 2022 | 541.92 Mn |
| Jul 3, 2022 | 638.09 Mn |
| Mar 27, 2022 | 1.13 Bn |
| Dec 26, 2021 | 1.75 Bn |
| Sep 26, 2021 | 3.03 Bn |
API Access
1 800 Flowers Com Enterprise Value 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=enterprise-value&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();