Lowes Companies (LOW) Asset Writedowns and Impairment (2016 - 2020)
Lowes Companies' Asset Writedowns and Impairment came in at -$169 million for FY2025 (year ended Jan 31, 2025), compared with -$57 million in FY2024.
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Analysis
Lowes Companies (LOW) Asset Writedowns and Impairment (2016 - 2020) Analysis & Trends
Going back to FY2015, Lowes Companies' Asset Writedowns and Impairment data covers 6 fiscal years.
- The FY2025 figure represents the lowest annual Asset Writedowns and Impairment in data going back to FY2015.
- Per Business Quant, earlier fiscal years put Asset Writedowns and Impairment at -$57 million in FY2024 and $2.54 billion 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 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2020 | -61.00 Mn |
| Nov 1, 2019 | 53.00 Mn |
| Feb 1, 2019 | 952.00 Mn |
| Nov 2, 2018 | 112.00 Mn |
| Aug 3, 2018 | 206.00 Mn |
| Oct 28, 2016 | 46.00 Mn |
| Jan 29, 2016 | 532.00 Mn |
API Access
Lowes Companies 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=LOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "LOW", "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=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();