Minerals Technologies (MTX) EBITDA (2009 - 2026)
Minerals Technologies (MTX) posted EBITDA of -$196.8 million for Q2 2026, compared with $96.6 million a year earlier.
Minerals Technologies (MTX) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, EBITDA at Minerals Technologies was $65.4 million, down 61.1% year-over-year; for FY2025, it was $138.6 million, down 63.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In prior years, Minerals Technologies' EBITDA was $381.4 million in FY2024 (+43.0%), $266.8 million in FY2023 (-13.7%), $309 million in FY2022 (-6.4%) and $330.3 million in FY2021 (+17.2%).
- The Q2 2026 figure stands as the lowest quarterly EBITDA in data going back to Q3 2009.
- On a year-over-year basis, EBITDA increased in three of the last five quarters, with growth averaging 105.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2024, with growth of 507.9%; the weakest was Q3 2023, with a decline of 72.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $83.6 million (Q1 2026), $85.3 million (Q4 2025) and $93.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 1.84 Bn |
| 10 | Minerals Technologies | 1.95 Bn | 617.84 Mn | 133.80 Mn | -196.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | -196.80 Mn |
| Apr 5, 2026 | 83.60 Mn |
| Dec 31, 2025 | 85.30 Mn |
| Sep 28, 2025 | 93.30 Mn |
| Jun 29, 2025 | 96.60 Mn |
| Mar 30, 2025 | -136.60 Mn |
| Dec 31, 2024 | 108.40 Mn |
| Sep 29, 2024 | 99.70 Mn |
| Jun 30, 2024 | 74.60 Mn |
| Mar 31, 2024 | 98.70 Mn |
| Dec 31, 2023 | 90.30 Mn |
| Oct 1, 2023 | 16.40 Mn |
| Jul 2, 2023 | 73.40 Mn |
| Apr 2, 2023 | 86.70 Mn |
| Dec 31, 2022 | 66.60 Mn |
| Oct 2, 2022 | 58.90 Mn |
| Jul 3, 2022 | 93.10 Mn |
| Apr 3, 2022 | 90.40 Mn |
| Dec 31, 2021 | 76.20 Mn |
| Oct 3, 2021 | 84.30 Mn |
Minerals Technologies EBITDA 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=ebitda&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();