1 800 Flowers Com (FLWS) Revenue (2010 - 2026)
1 800 Flowers Com's Revenue was $293.12 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 12.9% from $336.62 million a year earlier and unchanged from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Revenue at 1 800 Flowers Com came in at $1.5 billion, down 10.8% from FY2025.
- Revenue has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -6.7% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $1.69 billion in FY2025 (-8.0%), $1.83 billion in FY2024 (-9.2%), $2.02 billion in FY2023 (-8.6%) and $2.21 billion in FY2022 (+4.0%).
- Quarterly Revenue has moved between $215.2 million (fiscal Q1 2026) and $1.72 billion (fiscal Q2 2022) over five years.
- Compared with a year earlier, Revenue has declined for 11 straight quarters, with an average decline of 10.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Revenue ranged from 5.7% (fiscal Q2 2025) to 12.9% (fiscal Q4 2026).
- Per Business Quant data, FLWS's Revenue in the three fiscal quarters before Q4 2026 was $293.01 million (Q3 2026), $702.18 million (Q2 2026) and $215.2 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 4.84 Bn |
| 10 | 1 800 Flowers Com | 166.17 Mn | -96.98 Mn | 101.81 Mn | 293.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 293.12 Mn |
| Mar 29, 2026 | 293.01 Mn |
| Dec 28, 2025 | 702.18 Mn |
| Sep 28, 2025 | 215.20 Mn |
| Jun 29, 2025 | 336.62 Mn |
| Mar 30, 2025 | 331.45 Mn |
| Dec 29, 2024 | 775.49 Mn |
| Sep 29, 2024 | 242.09 Mn |
| Jun 30, 2024 | 360.91 Mn |
| Mar 31, 2024 | 379.41 Mn |
| Dec 31, 2023 | 822.05 Mn |
| Oct 1, 2023 | 269.05 Mn |
| Jul 2, 2023 | 398.81 Mn |
| Apr 2, 2023 | 417.57 Mn |
| Jan 1, 2023 | 897.88 Mn |
| Oct 2, 2022 | 303.60 Mn |
| Mar 27, 2022 | 469.58 Mn |
| Dec 26, 2021 | 943.04 Mn |
| Sep 26, 2021 | 309.37 Mn |
| Mar 28, 2021 | 474.23 Mn |
API Access
1 800 Flowers Com Revenue 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=revenue&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();