Minerals Technologies (MTX) Income from Continuing Operations (2009 - 2026)
Minerals Technologies (MTX) posted Income from Continuing Operations of -$185.1 million for Q2 2026, compared with $45.2 million a year earlier.
Minerals Technologies (MTX) Income from Continuing Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Income from Continuing Operations at Minerals Technologies was -$69 million; for FY2025, it came in at -$18.9 million.
- In prior years, Minerals Technologies' Income from Continuing Operations was $164.2 million in FY2024 (+95.5%), $84 million in FY2023 (-32.6%), $124.6 million in FY2022 (-24.8%) and $165.7 million in FY2021 (+45.9%).
- The Q2 2026 figure stands as the lowest quarterly Income from Continuing Operations in data going back to Q2 2009.
- On a year-over-year basis, Income from Continuing Operations increased in two of the last four quarters, with growth averaging 34.1%.
- The strongest year-over-year quarter for Income from Continuing Operations in the past five years was Q2 2025, with growth of 137.9%; the weakest was Q3 2022, with a decline of 66.6%.
- According to Business Quant data, Income from Continuing Operations for the three prior quarters was $36 million (Q1 2026), $37 million (Q4 2025) and $43.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 2.60 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 2.05 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 1.39 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 1.60 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 1.89 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 1.28 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 4.00 Mn |
| 10 | Minerals Technologies | 1.96 Bn | 635.57 Mn | 133.80 Mn | -185.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | -185.10 Mn |
| Apr 5, 2026 | 36.00 Mn |
| Dec 31, 2025 | 37.00 Mn |
| Sep 28, 2025 | 43.10 Mn |
| Jun 29, 2025 | 45.20 Mn |
| Mar 30, 2025 | -144.20 Mn |
| Dec 31, 2024 | 53.20 Mn |
| Sep 29, 2024 | 45.80 Mn |
| Jun 30, 2024 | 19.00 Mn |
| Mar 31, 2024 | 46.20 Mn |
| Dec 31, 2023 | 39.40 Mn |
| Oct 1, 2023 | -19.10 Mn |
| Jul 2, 2023 | 26.50 Mn |
| Apr 2, 2023 | 37.20 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Oct 2, 2022 | 13.90 Mn |
| Jul 3, 2022 | 44.90 Mn |
| Apr 3, 2022 | 44.80 Mn |
| Dec 31, 2021 | 41.10 Mn |
| Oct 3, 2021 | 41.60 Mn |
Minerals Technologies Income from Continuing Operations 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=income-from-continuing-operations&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();