Minerals Technologies (MTX) Capital Expenditures (2009 - 2026)
Minerals Technologies' Capital Expenditures was $27.2 million in Q2 2026, down 6.5% from $29.1 million a year earlier but up 17.7% from the prior quarter.
Minerals Technologies (MTX) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Minerals Technologies' Capital Expenditures was $110 million through Jul 5, 2026, up 9.8% year-over-year; for FY2025, it came in at $107.1 million, up 19.7% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $89.5 million in FY2024 (-4.3%), $93.5 million in FY2023 (+13.6%), $82.3 million in FY2022 (-4.3%) and $86 million in FY2021 (+28.7%).
- Quarterly Capital Expenditures has moved between $16.5 million (Q1 2024) and $32.4 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in six of the last eight quarters, with growth averaging 15.5%.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2021 (growth of 63.4%); the worst was Q1 2024 (a decline of 32.4%).
- Per Business Quant data, MTX's Capital Expenditures in the three quarters before Q2 2026 was $23.1 million (Q1 2026), $32.4 million (Q4 2025) and $27.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 164.12 Bn | 142.91 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Rio Tinto | 142.23 Bn | 102.73 Bn | - | - |
| 4 | Newmont | 124.31 Bn | 92.31 Bn | 4.03 Bn | 719.00 Mn |
| 5 | Freeport-Mcmoran | 97.93 Bn | 81.98 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 93.99 Bn | 83.62 Bn | 2.43 Bn | -809.26 Mn |
| 7 | Barrick Mining | 69.36 Bn | 44.56 Bn | 2.90 Bn | 1.19 Bn |
| 8 | Nucor | 60.06 Bn | 49.44 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 48.50 Bn | 27.52 Bn | - | -1.10 Bn |
| 10 | Minerals Technologies | 1.92 Bn | 594.20 Mn | 133.80 Mn | 27.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 27.20 Mn |
| Apr 5, 2026 | 23.10 Mn |
| Dec 31, 2025 | 32.40 Mn |
| Sep 28, 2025 | 27.30 Mn |
| Jun 29, 2025 | 29.10 Mn |
| Mar 30, 2025 | 18.30 Mn |
| Dec 31, 2024 | 28.10 Mn |
| Sep 29, 2024 | 24.70 Mn |
| Jun 30, 2024 | 20.20 Mn |
| Mar 31, 2024 | 16.50 Mn |
| Dec 31, 2023 | 22.50 Mn |
| Oct 1, 2023 | 25.10 Mn |
| Jul 2, 2023 | 21.50 Mn |
| Apr 2, 2023 | 24.40 Mn |
| Dec 31, 2022 | 22.90 Mn |
| Oct 2, 2022 | 19.20 Mn |
| Jul 3, 2022 | 21.20 Mn |
| Apr 3, 2022 | 19.00 Mn |
| Dec 31, 2021 | 23.00 Mn |
| Oct 3, 2021 | 23.20 Mn |
Minerals Technologies Capital Expenditures 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=capital-expenditures&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();