1 800 Flowers Com (FLWS) Return on Equity [ROE] (2009 - 2026)
1 800 Flowers Com (FLWS) recorded Return on Equity [ROE] of -84.62% in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 15.16 percentage points from -69.45% a year earlier and down 27.42 percentage points from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com reported Return on Equity [ROE] of -69.05%, down 13.64 percentage points from FY2025.
- Annual Return on Equity [ROE] has a five-year change of -95.16 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Equity [ROE] came in at -55.40% in FY2025 (-52.65 pp), -2.75% in FY2024 (+6.20 pp), -8.95% in FY2023 (-16.92 pp) and 7.97% in FY2022 (-18.14 pp).
- Quarterly Return on Equity [ROE] has ranged from -91.75% in fiscal Q1 2026 to 55.81% in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Return on Equity [ROE] has declined for six consecutive quarters, with an average year-over-year change of -37.54 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 8.36 percentage points in fiscal Q2 2025, against a drop of 89.32 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -57.20% (Q3 2026), -85.71% (Q2 2026) and -91.75% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 23.14% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 93.32% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 57.63% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 43.59% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 40.76% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 25.85% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | - |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | 1 800 Flowers Com | 175.23 Mn | -89.57 Mn | 58.50 Mn | -115.11% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | -115.11% |
| Jun 28, 2026 | -80.19% |
| Mar 29, 2026 | -55.74% |
| Dec 28, 2025 | -83.82% |
| Sep 28, 2025 | -90.07% |
| Jun 29, 2025 | -68.26% |
| Mar 30, 2025 | -41.56% |
| Dec 29, 2024 | -1.63% |
| Sep 29, 2024 | -2.00% |
| Jun 30, 2024 | -1.27% |
| Mar 31, 2024 | -1.57% |
| Dec 31, 2023 | -13.07% |
| Oct 1, 2023 | -9.23% |
| Jul 2, 2023 | -9.27% |
| Apr 2, 2023 | -8.66% |
| Jan 1, 2023 | 21.95% |
| Oct 2, 2022 | 3.68% |
| Mar 27, 2022 | 9.70% |
| Dec 26, 2021 | 36.08% |
| Sep 26, 2021 | 18.44% |
API Access
1 800 Flowers Com Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();