1 800 Flowers Com (FLWS) Goodwill & Intangibles (2009 - 2026)
1 800 Flowers Com's Goodwill & Intangibles was $79.14 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 36.3% from $124.3 million a year earlier and unchanged from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, 1 800 Flowers Com has reported Goodwill & Intangibles for 56 quarters.
- Goodwill & Intangibles has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -25.6% (FY2021 to FY2026).
- In earlier fiscal years, Goodwill & Intangibles was $124.3 million in FY2025 (-53.6%), $268.01 million in FY2024 (-8.6%), $293.26 million in FY2023 (-18.3%) and $358.86 million in FY2022 (+3.4%).
- Quarterly Goodwill & Intangibles has moved between $79.14 million (fiscal Q3 2026) and $361.18 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Goodwill & Intangibles has declined for six straight quarters, with an average decline of 37.1% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was fiscal Q4 2022 (growth of 3.4%); the worst was fiscal Q1 2026 (a decline of 54.3%).
- Per Business Quant data, FLWS's Goodwill & Intangibles in the three fiscal quarters before Q4 2026 was $79.14 million (Q3 2026), $124.3 million (Q2 2026) and $124.3 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn |
| 10 | 1 800 Flowers Com | 175.23 Mn | -89.57 Mn | 58.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 68.54 Mn |
| Jun 28, 2026 | 68.54 Mn |
| Mar 29, 2026 | 79.14 Mn |
| Dec 28, 2025 | 124.30 Mn |
| Sep 28, 2025 | 124.30 Mn |
| Jun 29, 2025 | 124.30 Mn |
| Mar 30, 2025 | 133.05 Mn |
| Dec 29, 2024 | 271.73 Mn |
| Sep 29, 2024 | 272.18 Mn |
| Jun 30, 2024 | 268.01 Mn |
| Mar 31, 2024 | 270.36 Mn |
| Dec 31, 2023 | 271.47 Mn |
| Oct 1, 2023 | 292.15 Mn |
| Jul 2, 2023 | 293.26 Mn |
| Apr 2, 2023 | 294.38 Mn |
| Jan 1, 2023 | 356.85 Mn |
| Oct 2, 2022 | 357.80 Mn |
| Jul 3, 2022 | 358.86 Mn |
| Mar 27, 2022 | 360.55 Mn |
| Dec 26, 2021 | 361.18 Mn |
API Access
1 800 Flowers Com Goodwill & 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=goodwill-and-intangibles&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();