1 800 Flowers Com (FLWS) Non-Current Assets (2011 - 2026)
1 800 Flowers Com (FLWS) recorded Non-Current Assets of $425.55 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 13.1% from $489.89 million a year earlier but up 0.6% from the prior quarter.
1 800 Flowers Com (FLWS) Non-Current Assets (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, 1 800 Flowers Com's Non-Current Assets history includes 56 quarters.
- Annual Non-Current Assets has declined for four straight fiscal years, with a five-year compound annual growth rate of -8.9% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $489.89 million in FY2025 (-24.3%), $646.92 million in FY2024 (-4.6%), $678.29 million in FY2023 (-9.2%) and $746.65 million in FY2022 (+10.4%).
- Quarterly Non-Current Assets has ranged from $423.08 million in fiscal Q3 2026 to $748.47 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for 11 consecutive quarters, with an average decline of 16.3% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 10.4% in fiscal Q4 2022, against a decline of 26.2% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $423.08 million (Q3 2026), $475.78 million (Q2 2026) and $482.31 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98 Bn |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 Mn | 101.81 Mn | 425.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 425.55 Mn |
| Mar 29, 2026 | 423.08 Mn |
| Dec 28, 2025 | 475.78 Mn |
| Sep 28, 2025 | 482.31 Mn |
| Jun 29, 2025 | 489.89 Mn |
| Mar 30, 2025 | 502.39 Mn |
| Dec 29, 2024 | 644.88 Mn |
| Sep 29, 2024 | 648.91 Mn |
| Jun 30, 2024 | 646.92 Mn |
| Mar 31, 2024 | 643.35 Mn |
| Dec 31, 2023 | 647.23 Mn |
| Oct 1, 2023 | 668.77 Mn |
| Jul 2, 2023 | 678.29 Mn |
| Apr 2, 2023 | 679.32 Mn |
| Jan 1, 2023 | 748.27 Mn |
| Oct 2, 2022 | 750.39 Mn |
| Jul 3, 2022 | 746.65 Mn |
| Mar 27, 2022 | 746.79 Mn |
| Dec 26, 2021 | 748.47 Mn |
| Sep 26, 2021 | 704.38 Mn |
1 800 Flowers Com Non-Current 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=non-current-assets&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();