1 800 Flowers Com (FLWS) Return on Assets [ROA] (2009 - 2026)
1 800 Flowers Com's Return on Assets [ROA] was -21.60% in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 4.18 percentage points from -25.78% a year earlier but down 4.07 percentage points from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Return on Assets [ROA] at 1 800 Flowers Com came in at -20.18%, up 2.37 percentage points from FY2025.
- Return on Assets [ROA] shows a five-year change of -33.00 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Assets [ROA] was -22.55% in FY2025 (-21.31 pp), -1.24% in FY2024 (+2.85 pp), -4.09% in FY2023 (-7.83 pp) and 3.74% in FY2022 (-9.08 pp).
- Quarterly Return on Assets [ROA] has moved between -27.63% (fiscal Q1 2026) and 24.43% (fiscal Q1 2022) over five years.
- Compared with a year earlier, Return on Assets [ROA] was higher in three of the last eight quarters, with an average year-over-year change of -10.46 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q4 2026 (a gain of 4.18 percentage points); the worst was fiscal Q1 2026 (a drop of 26.57 percentage points).
- Per Business Quant data, FLWS's Return on Assets [ROA] in the three fiscal quarters before Q4 2026 was -17.53% (Q3 2026), -25.08% (Q2 2026) and -27.63% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 11.53% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 11.99% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 15.81% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 16.86% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 7.42% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 15.49% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 12.09% |
| 10 | 1 800 Flowers Com | 175.23 Mn | -89.57 Mn | 58.50 Mn | -19.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | -19.90% |
| Jun 28, 2026 | -20.47% |
| Mar 29, 2026 | -17.09% |
| Dec 28, 2025 | -24.52% |
| Sep 28, 2025 | -27.12% |
| Jun 29, 2025 | -25.34% |
| Mar 30, 2025 | -17.38% |
| Dec 29, 2024 | -0.70% |
| Sep 29, 2024 | -0.87% |
| Jun 30, 2024 | -0.58% |
| Mar 31, 2024 | -0.69% |
| Dec 31, 2023 | -5.51% |
| Oct 1, 2023 | -4.01% |
| Jul 2, 2023 | -4.36% |
| Apr 2, 2023 | -4.11% |
| Jan 1, 2023 | 9.36% |
| Oct 2, 2022 | 1.57% |
| Mar 27, 2022 | 4.35% |
| Dec 26, 2021 | 15.79% |
| Sep 26, 2021 | 8.51% |
API Access
1 800 Flowers Com Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();