Minerals Technologies (MTX) Price to Earnings (2010 - 2026)
Minerals Technologies' (MTX) Price to Earnings came in at 13.28 for Q1 2026.
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Analysis
Minerals Technologies (MTX) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2024, Minerals Technologies' Price to Earnings stood at 14.55, down 47.1% from FY2023.
- In prior years, Minerals Technologies' Price to Earnings was 27.48 in FY2023 (+69.9%), 16.17 in FY2022 (+9.5%), 14.76 in FY2021 (-21.2%) and 18.73 in FY2020 (+24.8%).
- The Q1 2026 figure stands as the lowest quarterly Price to Earnings since Q3 2022.
- The strongest year-over-year quarter for Price to Earnings in the past five years was Q3 2023, with growth of 148.6%; the weakest was Q4 2024, with a decline of 47.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - |
| 10 | Minerals Technologies | 1.99 Bn | 661.69 Mn | 133.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 5, 2026 | 13.28 |
| Jun 29, 2025 | 829.38 |
| Dec 31, 2024 | 14.55 |
| Sep 29, 2024 | 15.80 |
| Jun 30, 2024 | 30.78 |
| Mar 31, 2024 | 25.88 |
| Dec 31, 2023 | 27.48 |
| Oct 1, 2023 | 27.76 |
| Jul 2, 2023 | 19.40 |
| Apr 2, 2023 | 17.08 |
| Dec 31, 2022 | 16.17 |
| Oct 2, 2022 | 11.17 |
| Jul 3, 2022 | 11.72 |
| Apr 3, 2022 | 12.93 |
| Dec 31, 2021 | 14.76 |
| Oct 3, 2021 | 15.63 |
| Jul 4, 2021 | 18.49 |
| Apr 4, 2021 | 22.70 |
| Dec 31, 2020 | 18.73 |
| Sep 27, 2020 | 15.17 |
API Access
Minerals Technologies Price to Earnings 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=price-to-earnings&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();