1 800 Flowers Com (FLWS) Other Accumulated Expenses (2011 - 2024)
1 800 Flowers Com (FLWS) recorded Other Accumulated Expenses of $63.23 million in fiscal Q2 2025 (quarter ended Dec 29, 2024), up 12.2% from $56.34 million a year earlier and up 91.4% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Other Accumulated Expenses (2011 - 2024) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), 1 800 Flowers Com reported Other Accumulated Expenses of $30.77 million, down 3.0% from FY2023.
- Annual Other Accumulated Expenses has declined for three straight fiscal years, though with a five-year compound annual growth rate of 1.6% (FY2019 to FY2024).
- Across earlier fiscal years, Other Accumulated Expenses came in at $31.71 million in FY2023 (-5.2%), $33.44 million in FY2022 (-10.1%), $37.21 million in FY2021 (+8.5%) and $34.31 million in FY2020 (+20.6%).
- The fiscal Q2 2025 figure is the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2011.
- On a year-over-year basis, Other Accumulated Expenses rose in three of the last six quarters, with growth averaging 3.3%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 22.4% in fiscal Q3 2024, against a decline of 10.6% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $33.03 million (Q1 2025), $30.77 million (Q4 2024) and $36.06 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 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 |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | 1 800 Flowers Com | 163.61 Mn | -99.53 Mn | 101.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2024 | 63.23 Mn |
| Sep 29, 2024 | 33.03 Mn |
| Jun 30, 2024 | 30.77 Mn |
| Mar 31, 2024 | 36.06 Mn |
| Dec 31, 2023 | 56.34 Mn |
| Oct 1, 2023 | 31.78 Mn |
| Jul 2, 2023 | 31.71 Mn |
| Apr 2, 2023 | 29.46 Mn |
| Jan 1, 2023 | 63.03 Mn |
| Oct 2, 2022 | 35.35 Mn |
| Jul 3, 2022 | 33.44 Mn |
| Mar 27, 2022 | 34.59 Mn |
| Dec 26, 2021 | 63.21 Mn |
| Jun 27, 2021 | 37.21 Mn |
| Jun 28, 2020 | 34.31 Mn |
| Jun 30, 2019 | 28.44 Mn |
| Jul 1, 2018 | 27.42 Mn |
| Jul 2, 2017 | 26.52 Mn |
| Jul 3, 2016 | 8.07 Mn |
| Jun 28, 2015 | 37.27 Mn |
API Access
1 800 Flowers Com Other Accumulated 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=other-accumulated-expenses&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();