1 800 Flowers Com (FLWS) Gross Margin (2009 - 2026)
1 800 Flowers Com (FLWS) posted Gross Margin of 34.73% for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 0.73 percentage points from 35.46% a year earlier but up 1.53 percentage points from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Gross Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com's Gross Margin came in at 38.00%, down 0.70 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of -4.24 percentage points (FY2021 to FY2026).
- In prior fiscal years, 1 800 Flowers Com's Gross Margin was 38.70% in FY2025 (-1.42 pp), 40.12% in FY2024 (+2.58 pp), 37.54% in FY2023 (+0.32 pp) and 37.22% in FY2022 (-5.02 pp).
- Quarterly Gross Margin has run from a low of 31.68% in fiscal Q3 2025 to a high of 43.27% in fiscal Q2 2025 over five years.
- On a year-over-year basis, Gross Margin increased in three of the last eight quarters, with an average year-over-year change of -1.30 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q3 2024, with a gain of 2.93 percentage points; the weakest was fiscal Q3 2025, with a drop of 4.88 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 33.21% (Q3 2026), 42.08% (Q2 2026) and 35.67% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 53.17% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 33.04% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 18.92% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 33.83% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 33.67% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 52.39% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 53.34% |
| 10 | 1 800 Flowers Com | 175.23 Mn | -89.57 Mn | 58.50 Mn | 34.14% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 34.14% |
| Jun 28, 2026 | 34.73% |
| Mar 29, 2026 | 33.21% |
| Dec 28, 2025 | 42.08% |
| Sep 28, 2025 | 35.34% |
| Jun 29, 2025 | 35.46% |
| Mar 30, 2025 | 31.68% |
| Dec 29, 2024 | 43.27% |
| Sep 29, 2024 | 38.13% |
| Jun 30, 2024 | 38.35% |
| Mar 31, 2024 | 36.56% |
| Dec 31, 2023 | 43.27% |
| Oct 1, 2023 | 37.88% |
| Jul 2, 2023 | 37.08% |
| Apr 2, 2023 | 33.63% |
| Jan 1, 2023 | 40.96% |
| Oct 2, 2022 | 33.42% |
| Mar 27, 2022 | 32.81% |
| Dec 26, 2021 | 40.13% |
| Sep 26, 2021 | 40.57% |
API Access
1 800 Flowers Com Gross Margin 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=gross-margin&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();