1 800 Flowers Com (FLWS) Accumulated Expenses (2011 - 2026)
1 800 Flowers Com (FLWS) reported Accumulated Expenses of $118.96 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 8.3% from $109.89 million a year earlier but down 4.2% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Accumulated Expenses (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, 1 800 Flowers Com's Accumulated Expenses record includes 53 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of -7.8% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $109.89 million in FY2025 (-9.4%), $121.3 million in FY2024 (-14.5%), $141.91 million in FY2023 (-19.1%) and $175.39 million in FY2022 (-1.7%).
- Five-year quarterly Accumulated Expenses spans a low of $105.67 million in fiscal Q3 2025 and a high of $279.35 million in fiscal Q1 2022.
- Year over year, Accumulated Expenses gained in two of the last eight quarters, with an average decline of 5.9%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2026 (growth of 17.5%); the low point was fiscal Q3 2025 (a decline of 23.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $124.11 million (Q3 2026), $168.9 million (Q2 2026) and $123.23 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 Mn | 101.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 118.96 Mn |
| Mar 29, 2026 | 124.11 Mn |
| Dec 28, 2025 | 168.90 Mn |
| Sep 28, 2025 | 123.23 Mn |
| Jun 29, 2025 | 109.89 Mn |
| Mar 30, 2025 | 105.67 Mn |
| Dec 29, 2024 | 193.56 Mn |
| Sep 29, 2024 | 128.93 Mn |
| Jun 30, 2024 | 121.30 Mn |
| Mar 31, 2024 | 138.00 Mn |
| Dec 31, 2023 | 224.08 Mn |
| Oct 1, 2023 | 142.70 Mn |
| Jul 2, 2023 | 141.91 Mn |
| Apr 2, 2023 | 147.75 Mn |
| Jan 1, 2023 | 233.93 Mn |
| Oct 2, 2022 | 180.92 Mn |
| Jul 3, 2022 | 175.39 Mn |
| Mar 27, 2022 | 176.55 Mn |
| Dec 26, 2021 | 279.35 Mn |
| Sep 26, 2021 | 173.00 Mn |
API Access
1 800 Flowers Com 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=accumulated-expenses&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();