1 800 Flowers Com (FLWS) Change in Accured Expenses (2010 - 2026)
1 800 Flowers Com (FLWS) reported Change in Accured Expenses of $2.69 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 87.7% from $21.95 million a year earlier.
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Analysis
1 800 Flowers Com (FLWS) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com posted Change in Accured Expenses of -$199,000.
- By fiscal year, Change in Accured Expenses came in at -$17 million in FY2025, $6.4 million in FY2024, -$38.62 million in FY2023 and -$6.6 million in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$148.86 million in fiscal Q3 2023 and a high of $160.46 million in fiscal Q1 2022.
- Year over year, Change in Accured Expenses gained in 1 of the last four quarters, with an average decline of 9.6%.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -$106.49 million (Q3 2026), $94.14 million (Q2 2026) and $9.46 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | 1 800 Flowers Com | 163.61 Mn | -99.53 Mn | 101.81 Mn | 2.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.69 Mn |
| Mar 29, 2026 | -106.49 Mn |
| Dec 28, 2025 | 94.14 Mn |
| Sep 28, 2025 | 9.46 Mn |
| Jun 29, 2025 | 21.95 Mn |
| Mar 30, 2025 | -143.62 Mn |
| Dec 29, 2024 | 113.48 Mn |
| Sep 29, 2024 | -8.81 Mn |
| Jun 30, 2024 | 12.48 Mn |
| Mar 31, 2024 | -131.48 Mn |
| Dec 31, 2023 | 125.45 Mn |
| Oct 1, 2023 | -42,000.00 |
| Jul 2, 2023 | 21.18 Mn |
| Apr 2, 2023 | -148.86 Mn |
| Oct 2, 2022 | 11.74 Mn |
| Sep 26, 2021 | 2.42 Mn |
| Dec 27, 2020 | 205.29 Mn |
| Sep 27, 2020 | 7.05 Mn |
| Jun 28, 2020 | 12.92 Mn |
| Mar 29, 2020 | -180.90 Mn |
API Access
1 800 Flowers Com Change in Accured Expenses 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=change-in-accured-expenses&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();