Lands' End (LE) Asset Writedowns and Impairment (2020 - 2026)
Lands' End (LE) recorded Asset Writedowns and Impairment of $427,000 in fiscal Q4 2026 (quarter ended Jan 30, 2026), compared with $1,000 a year earlier and up 66.8% from the prior quarter.
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Analysis
Lands' End (LE) Asset Writedowns and Impairment (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Lands' End reported Asset Writedowns and Impairment of $683,000, down 82.1% from FY2025.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of -27.0% (FY2021 to FY2026).
- Across earlier fiscal years, Asset Writedowns and Impairment came in at $3.82 million in FY2025 (-96.4%), $106.7 million in FY2024 and $468,000 in FY2023.
- The fiscal Q4 2026 figure is the highest quarterly Asset Writedowns and Impairment since fiscal Q3 2025.
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 | Lands' End | 308.94 Mn | 215.66 Mn | 157.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 30, 2026 | 427,000.00 |
| Oct 31, 2025 | 256,000.00 |
| Jan 31, 2025 | 1,000.00 |
| Nov 1, 2024 | 1.01 Mn |
| Jan 27, 2023 | 348,000.00 |
| May 1, 2020 | 3.30 Mn |
API Access
Lands' End 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=LE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "LE", "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=LE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();