1 800 Flowers Com (FLWS) Asset Writedowns and Impairment (2015 - 2026)
1 800 Flowers Com (FLWS) posted Asset Writedowns and Impairment of $45.2 million for FY2026 (year ended Jun 28, 2026), down 68.6% from $143.82 million in FY2025.
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Analysis
1 800 Flowers Com (FLWS) Asset Writedowns and Impairment (2015 - 2026) Analysis & Trends
Since FY2016, 1 800 Flowers Com has reported Asset Writedowns and Impairment for 5 fiscal years.
- Annual Asset Writedowns and Impairment shows a three-year compound annual growth rate of -11.2% (FY2023 to FY2026).
- Annual Asset Writedowns and Impairment has run from a low of $19.8 million in FY2024 to a high of $143.82 million in FY2025 over five years.
- Business Quant data shows FLWS's Asset Writedowns and Impairment at $143.82 million in FY2025 (+626.4%), $19.8 million in FY2024 (-69.3%) and $64.6 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | 1 800 Flowers Com | 163.61 Mn | -99.53 Mn | 101.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 45.20 Mn |
| Jun 29, 2025 | 5.62 Mn |
| Mar 30, 2025 | 138.20 Mn |
| Jun 30, 2024 | 38,000.00 |
| Dec 31, 2023 | 19.80 Mn |
| Apr 2, 2023 | 64.60 Mn |
| Dec 31, 2017 | 200,000.00 |
| Oct 2, 2016 | 1.70 Mn |
| Jul 3, 2016 | 157,000.00 |
| Mar 27, 2016 | -17,000.00 |
| Dec 27, 2015 | 438,000.00 |
| Sep 27, 2015 | 1.88 Mn |
API Access
1 800 Flowers Com Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();