1 800 Flowers Com (FLWS) Inventory (2011 - 2026)
1 800 Flowers Com (FLWS) recorded Inventory of $152.78 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 13.7% from $177.13 million a year earlier but up 4.5% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Inventory (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, 1 800 Flowers Com's Inventory history includes 56 quarters.
- Annual Inventory has a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $177.13 million in FY2025 (+0.3%), $176.59 million in FY2024 (-7.7%), $191.33 million in FY2023 (-22.7%) and $247.56 million in FY2022 (+60.9%).
- Quarterly Inventory has ranged from $146.2 million in fiscal Q3 2026 to $280.62 million in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Inventory has declined for four consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 60.9% in fiscal Q4 2022, against a decline of 22.7% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $146.2 million (Q3 2026), $148.88 million (Q2 2026) and $269.78 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | 1 800 Flowers Com | 166.17 Mn | -96.98 Mn | 101.81 Mn | 152.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 152.78 Mn |
| Mar 29, 2026 | 146.20 Mn |
| Dec 28, 2025 | 148.88 Mn |
| Sep 28, 2025 | 269.78 Mn |
| Jun 29, 2025 | 177.13 Mn |
| Mar 30, 2025 | 160.32 Mn |
| Dec 29, 2024 | 157.44 Mn |
| Sep 29, 2024 | 275.32 Mn |
| Jun 30, 2024 | 176.59 Mn |
| Mar 31, 2024 | 159.46 Mn |
| Dec 31, 2023 | 161.32 Mn |
| Oct 1, 2023 | 280.62 Mn |
| Jul 2, 2023 | 191.33 Mn |
| Apr 2, 2023 | 191.89 Mn |
| Jan 1, 2023 | 201.06 Mn |
| Oct 2, 2022 | 342.60 Mn |
| Jul 3, 2022 | 247.56 Mn |
| Mar 27, 2022 | 214.44 Mn |
| Dec 26, 2021 | 191.05 Mn |
| Sep 26, 2021 | 282.44 Mn |
API Access
1 800 Flowers Com Inventory 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=inventory&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();