1 800 Flowers Com (FLWS) Prepaid Assets (2011 - 2026)
1 800 Flowers Com's Prepaid Assets was $25.72 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 31.2% from $37.41 million a year earlier and down 0.9% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Prepaid Assets (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, 1 800 Flowers Com has reported Prepaid Assets for 56 quarters.
- Prepaid Assets shows a five-year compound annual growth rate of -13.1% (FY2021 to FY2026).
- In earlier fiscal years, Prepaid Assets was $37.41 million in FY2025 (+18.1%), $31.68 million in FY2024 (-8.4%), $34.58 million in FY2023 (-23.8%) and $45.4 million in FY2022 (-12.3%).
- Quarterly Prepaid Assets has moved between $19.39 million (fiscal Q2 2026) and $60.96 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Prepaid Assets has declined for four straight quarters, with an average decline of 5.2% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q1 2025 (growth of 23.5%); the worst was fiscal Q1 2026 (a decline of 33.3%).
- Per Business Quant data, FLWS's Prepaid Assets in the three fiscal quarters before Q4 2026 was $25.95 million (Q3 2026), $19.39 million (Q2 2026) and $40.66 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 | 25.72 Mn |
| Mar 29, 2026 | 25.95 Mn |
| Dec 28, 2025 | 19.39 Mn |
| Sep 28, 2025 | 40.66 Mn |
| Jun 29, 2025 | 37.41 Mn |
| Mar 30, 2025 | 30.05 Mn |
| Dec 29, 2024 | 26.88 Mn |
| Sep 29, 2024 | 60.96 Mn |
| Jun 30, 2024 | 31.68 Mn |
| Mar 31, 2024 | 26.44 Mn |
| Dec 31, 2023 | 24.56 Mn |
| Oct 1, 2023 | 49.35 Mn |
| Jul 2, 2023 | 34.58 Mn |
| Apr 2, 2023 | 39.18 Mn |
| Jan 1, 2023 | 24.93 Mn |
| Oct 2, 2022 | 64.82 Mn |
| Jul 3, 2022 | 45.40 Mn |
| Mar 27, 2022 | 33.51 Mn |
| Dec 26, 2021 | 32.96 Mn |
| Sep 26, 2021 | 68.64 Mn |
API Access
1 800 Flowers Com Prepaid Assets 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=prepaid-assets&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();