Minerals Technologies (MTX) Asset Writedowns and Impairment (2009 - 2025)
Minerals Technologies (MTX) reported Asset Writedowns and Impairment of -$3.4 million for Q4 2025.
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Analysis
Minerals Technologies (MTX) Asset Writedowns and Impairment (2009 - 2025) Analysis & Trends
For FY2023, Minerals Technologies posted Asset Writedowns and Impairment of $71.7 million.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 152.4% (FY2018 to FY2023).
- By year, Asset Writedowns and Impairment came in at $700,000 in FY2021 (-90.1%), $7.1 million in FY2020 (-5.3%) and $7.5 million in FY2019 (+971.4%).
- The Q4 2025 figure ranks as the lowest quarterly Asset Writedowns and Impairment in data going back to Q2 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.49 Bn | 132.28 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.48 Bn | 95.98 Bn | - |
| 4 | Newmont | 113.96 Bn | 79.11 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.17 Bn | 76.80 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.05 Bn | 40.24 Bn | 2.90 Bn |
| 8 | Nucor | 58.96 Bn | 48.35 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.39 Bn | 24.42 Bn | - |
| 10 | Minerals Technologies | 1.96 Bn | 635.25 Mn | 133.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -3.40 Mn |
| Jun 29, 2025 | 3.40 Mn |
| Oct 1, 2023 | 71.70 Mn |
| Oct 3, 2021 | 700,000.00 |
| Sep 27, 2020 | 1.10 Mn |
| Jun 28, 2020 | 6.00 Mn |
| Jun 30, 2019 | 7.50 Mn |
| Dec 31, 2018 | 700,000.00 |
| Dec 31, 2017 | 5.30 Mn |
| Jul 3, 2016 | 18.50 Mn |
| Dec 31, 2015 | 13.10 Mn |
| Sep 27, 2015 | 5.30 Mn |
| Jun 28, 2015 | 15.80 Mn |
| Dec 31, 2014 | 23.70 Mn |
| Dec 31, 2009 | 2.32 Mn |
| Jun 28, 2009 | 37.52 Mn |
API Access
Minerals Technologies 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=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "MTX", "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=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();