Minerals Technologies (MTX) Gross Margin (2009 - 2026)
Minerals Technologies (MTX) posted Gross Margin of 24.40% for Q2 2026, down 1.49 percentage points from 25.88% a year earlier but up 0.43 percentage points from the prior quarter.
Minerals Technologies (MTX) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Gross Margin at Minerals Technologies was 24.52%, down 0.90 percentage points year-over-year; for FY2025, it came in at 24.99%, down 0.86 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of -0.43 percentage points (FY2020 to FY2025).
- In prior years, Minerals Technologies' Gross Margin was 25.85% in FY2024 (+2.48 pp), 23.37% in FY2023 (+1.49 pp), 21.88% in FY2022 (-2.15 pp) and 24.03% in FY2021 (-1.39 pp).
- Quarterly Gross Margin has run from a low of 19.25% in Q4 2022 to a high of 26.59% in Q2 2024 over five years.
- On a year-over-year basis, Gross Margin has declined in each of the last six quarters, with an average year-over-year change of -0.27 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q4 2023, with a gain of 4.64 percentage points; the weakest was Q4 2021, with a drop of 3.55 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 23.97% (Q1 2026), 23.97% (Q4 2025) and 25.73% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 161.41 Bn | 140.19 Bn | 2.90 Bn | 67.60% |
| 3 | Rio Tinto | 140.63 Bn | 101.13 Bn | - | - |
| 4 | Newmont | 123.38 Bn | 91.38 Bn | 4.03 Bn | 65.87% |
| 5 | Freeport-Mcmoran | 97.77 Bn | 81.81 Bn | 2.19 Bn | 31.10% |
| 6 | Agnico Eagle Mines | 92.93 Bn | 82.57 Bn | 2.43 Bn | 63.79% |
| 7 | Barrick Mining | 68.88 Bn | 44.08 Bn | 2.90 Bn | 54.74% |
| 8 | Nucor | 60.59 Bn | 49.98 Bn | 2.03 Bn | 19.56% |
| 9 | ArcelorMittal | 48.10 Bn | 27.13 Bn | - | - |
| 10 | Minerals Technologies | 1.95 Bn | 617.84 Mn | 133.80 Mn | 24.40% |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 24.40% |
| Apr 5, 2026 | 23.97% |
| Dec 31, 2025 | 23.97% |
| Sep 28, 2025 | 25.73% |
| Jun 29, 2025 | 25.88% |
| Mar 30, 2025 | 24.32% |
| Dec 31, 2024 | 25.61% |
| Sep 29, 2024 | 25.77% |
| Jun 30, 2024 | 26.59% |
| Mar 31, 2024 | 25.43% |
| Dec 31, 2023 | 23.89% |
| Oct 1, 2023 | 24.30% |
| Jul 2, 2023 | 23.21% |
| Apr 2, 2023 | 22.10% |
| Dec 31, 2022 | 19.25% |
| Oct 2, 2022 | 21.83% |
| Jul 3, 2022 | 22.85% |
| Apr 3, 2022 | 23.44% |
| Dec 31, 2021 | 22.23% |
| Oct 3, 2021 | 23.94% |
Minerals Technologies Gross Margin 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=gross-margin&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();