1 800 Flowers Com (FLWS) Return on Sales [ROS] (2010 - 2026)
1 800 Flowers Com (FLWS) recorded Return on Sales [ROS] of -19.23% in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 2.75 percentage points from -16.48% a year earlier but up 13.04 percentage points from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com reported Return on Sales [ROS] of -8.45%, up 3.70 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -15.48 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -12.15% in FY2025 (-12.04 pp), -0.11% in FY2024 (+1.62 pp), -1.74% in FY2023 (-3.64 pp) and 1.91% in FY2022 (-5.12 pp).
- Quarterly Return on Sales [ROS] has ranged from -58.36% in fiscal Q3 2025 to 12.82% in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -5.81 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 26.09 percentage points in fiscal Q3 2026, against a drop of 51.00 percentage points in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -32.27% (Q3 2026), 10.58% (Q2 2026) and -23.47% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 19.08% |
| 10 | 1 800 Flowers Com | 163.61 Mn | -99.53 Mn | 101.81 Mn | -19.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -19.23% |
| Mar 29, 2026 | -32.27% |
| Dec 28, 2025 | 10.58% |
| Sep 28, 2025 | -23.47% |
| Jun 29, 2025 | -16.48% |
| Mar 30, 2025 | -58.36% |
| Dec 29, 2024 | 11.74% |
| Sep 29, 2024 | -19.41% |
| Jun 30, 2024 | -7.71% |
| Mar 31, 2024 | -7.36% |
| Dec 31, 2023 | 11.10% |
| Oct 1, 2023 | -13.97% |
| Jul 2, 2023 | -6.05% |
| Apr 2, 2023 | -20.27% |
| Jan 1, 2023 | 12.82% |
| Oct 2, 2022 | -13.62% |
| Mar 27, 2022 | -5.59% |
| Dec 26, 2021 | 12.27% |
| Sep 26, 2021 | -6.57% |
| Mar 28, 2021 | -0.07% |
API Access
1 800 Flowers Com Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();