1 800 Flowers Com (FLWS) Payables (2011 - 2026)
1 800 Flowers Com (FLWS) recorded Payables of $68.96 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 7.5% from $74.58 million a year earlier but up 12.8% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Payables (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, 1 800 Flowers Com's Payables history includes 56 quarters.
- Annual Payables has a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $74.58 million in FY2025 (-6.8%), $80.01 million in FY2024 (+52.1%), $52.59 million in FY2023 (-8.4%) and $57.39 million in FY2022 (-0.1%).
- Quarterly Payables has ranged from $21.83 million in fiscal Q3 2023 to $123.15 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Payables rose in six of the last eight quarters, with growth averaging 10.6%.
- Peak year-over-year performance for Payables in the last five years was growth of 115.4% in fiscal Q3 2024, against a decline of 8.4% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $61.12 million (Q3 2026), $123.15 million (Q2 2026) and $73.94 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 17.83 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 1.72 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 8.40 Bn |
| 10 | 1 800 Flowers Com | 166.17 Mn | -96.98 Mn | 101.81 Mn | 68.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 68.96 Mn |
| Mar 29, 2026 | 61.12 Mn |
| Dec 28, 2025 | 123.15 Mn |
| Sep 28, 2025 | 73.94 Mn |
| Jun 29, 2025 | 74.58 Mn |
| Mar 30, 2025 | 56.85 Mn |
| Dec 29, 2024 | 113.59 Mn |
| Sep 29, 2024 | 63.73 Mn |
| Jun 30, 2024 | 80.01 Mn |
| Mar 31, 2024 | 47.02 Mn |
| Dec 31, 2023 | 92.42 Mn |
| Oct 1, 2023 | 51.76 Mn |
| Jul 2, 2023 | 52.59 Mn |
| Apr 2, 2023 | 21.83 Mn |
| Jan 1, 2023 | 75.10 Mn |
| Oct 2, 2022 | 63.61 Mn |
| Jul 3, 2022 | 57.39 Mn |
| Mar 27, 2022 | 58.50 Mn |
| Dec 26, 2021 | 109.26 Mn |
| Sep 26, 2021 | 65.36 Mn |
API Access
1 800 Flowers Com Payables 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=payables&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();