Minerals Technologies (MTX) Operating Expenses (2009 - 2026)
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Analysis
Minerals Technologies (MTX) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | 1.88 Bn |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | - |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | 3.20 Bn |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | - |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | - |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | 5.03 Bn |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | 165.00 Mn |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | 405.00 Mn |
| 10 | Minerals Technologies | 1.92 Bn | 544.12 Mn | 129.20 Mn | 57.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 57.70 Mn |
| Jul 5, 2026 | 59.20 Mn |
| Apr 5, 2026 | 63.60 Mn |
| Dec 31, 2025 | 61.70 Mn |
| Sep 28, 2025 | 58.60 Mn |
| Jun 29, 2025 | 63.70 Mn |
| Mar 30, 2025 | 61.90 Mn |
| Dec 31, 2024 | 58.50 Mn |
| Sep 29, 2024 | 56.00 Mn |
| Jun 30, 2024 | 59.10 Mn |
| Mar 31, 2024 | 58.60 Mn |
| Dec 31, 2023 | 56.10 Mn |
| Oct 1, 2023 | 56.40 Mn |
| Jul 2, 2023 | 64.00 Mn |
| Apr 2, 2023 | 57.70 Mn |
| Dec 31, 2022 | 54.10 Mn |
| Oct 2, 2022 | 51.60 Mn |
| Jul 3, 2022 | 56.40 Mn |
| Apr 3, 2022 | 55.50 Mn |
| Dec 31, 2021 | 53.40 Mn |
API Access
Minerals Technologies Operating Expenses 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=operating-expenses&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();