1 800 Flowers Com (FLWS) Intangibles (2011 - 2026)
1 800 Flowers Com (FLWS) posted Intangibles of $76.07 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 12.2% from $86.67 million a year earlier and unchanged from the prior quarter.
1 800 Flowers Com (FLWS) Intangibles (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, 1 800 Flowers Com has reported Intangibles for 56 quarters.
- Annual Intangibles has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -11.4% (FY2021 to FY2026).
- In prior fiscal years, 1 800 Flowers Com's Intangibles was $86.67 million in FY2025 (-22.2%), $111.47 million in FY2024 (-20.3%), $139.89 million in FY2023 (-3.9%) and $145.57 million in FY2022 (+4.7%).
- Quarterly Intangibles has run from a low of $76.07 million in fiscal Q3 2026 to a high of $147.18 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Intangibles has declined in each of the last 11 quarters, with an average decline of 17.7% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q4 2022, with growth of 4.7%; the weakest was fiscal Q1 2026, with a decline of 25.0%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $76.07 million (Q3 2026), $86.67 million (Q2 2026) and $86.67 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | - |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 10.48 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 5.71 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 53.00 Mn |
| 10 | 1 800 Flowers Com | 169.37 Mn | -93.78 Mn | 101.81 Mn | 76.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 76.07 Mn |
| Mar 29, 2026 | 76.07 Mn |
| Dec 28, 2025 | 86.67 Mn |
| Sep 28, 2025 | 86.67 Mn |
| Jun 29, 2025 | 86.67 Mn |
| Mar 30, 2025 | 89.82 Mn |
| Dec 29, 2024 | 115.08 Mn |
| Sep 29, 2024 | 115.53 Mn |
| Jun 30, 2024 | 111.47 Mn |
| Mar 31, 2024 | 116.78 Mn |
| Dec 31, 2023 | 117.90 Mn |
| Oct 1, 2023 | 138.77 Mn |
| Jul 2, 2023 | 139.89 Mn |
| Apr 2, 2023 | 141.00 Mn |
| Jan 1, 2023 | 142.85 Mn |
| Oct 2, 2022 | 144.51 Mn |
| Jul 3, 2022 | 145.57 Mn |
| Mar 27, 2022 | 146.64 Mn |
| Dec 26, 2021 | 147.18 Mn |
| Sep 26, 2021 | 138.14 Mn |
1 800 Flowers Com Intangibles 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=intangibles&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();