Mohawk Industries (MHK) Asset Writedowns and Impairment (2016 - 2024)
Mohawk Industries' (MHK) quarterly Asset Writedowns and Impairment came in at $8.2 million in Q4 2024, up 412.5% year-over-year from $1.6 million in Q1 2024, and up 412.5% quarter-over-quarter from $1.6 million in Q4 2023.
Mohawk Industries (MHK) Asset Writedowns and Impairment (2016 - 2024) Analysis & Trends
Mohawk Industries has disclosed Asset Writedowns and Impairment across 5 years of filings, most recently posting $8.2 million for Q4 2024.
- In Q4 2024, Asset Writedowns and Impairment rose 412.5% year-over-year to $8.2 million; the TTM figure through Dec 2024 stood at $885.9 million (down 43.7% YoY), while the FY2025 annual figure was $19.9 million, up 142.68% from the prior year.
- Asset Writedowns and Impairment came in at $8.2 million for Q4 2024 at Mohawk Industries, up from $1.6 million in the prior quarter.
- In the past five years, Asset Writedowns and Impairment ranged from a high of $876.1 million in Q3 2023 to a low of $29000.0 in Q4 2022.
- Average Asset Writedowns and Impairment over 3 years is $316.3 million, with a median of $8.2 million recorded in 2024.
- The largest YoY upside for Asset Writedowns and Impairment was 5417.24% in 2023 against a maximum downside of 25.92% in 2023.
- Over 3 years, Asset Writedowns and Impairment stood at $29000.0 in 2022, then soared by 5417.24% to $1.6 million in 2023, then soared by 412.5% to $8.2 million in 2024.
- Per Business Quant data, the three most recent Asset Writedowns and Impairment figures were $8.2 million in Q4 2024, $1.6 million in Q4 2023, and $876.1 million in Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - |
| 10 | Mohawk Industries | 8.55 Bn | 7.70 Bn | 795.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 8.20 Mn |
| Dec 31, 2023 | 1.60 Mn |
| Sep 30, 2023 | 876.10 Mn |
| Dec 31, 2022 | 29,000.00 |
| Oct 1, 2022 | 695.77 Mn |
| Dec 31, 2019 | -5.27 Mn |
| Sep 28, 2019 | 65.17 Mn |
| Oct 1, 2016 | 47.91 Mn |
Mohawk Industries 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=MHK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "MHK", "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=MHK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();