Minerals Technologies (MTX) Selling, General & Administrative (2009 - 2026)
Minerals Technologies (MTX) posted Selling, General & Administrative of $53.3 million for Q2 2026, up 2.1% from $52.2 million a year earlier but down 7.3% from the prior quarter.
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Analysis
Minerals Technologies (MTX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Selling, General & Administrative at Minerals Technologies was $216 million, up 5.0% year-over-year; for FY2025, it came in at $208 million, down 0.6% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior years, Minerals Technologies' Selling, General & Administrative was $209.2 million in FY2024 (+1.6%), $206 million in FY2023 (+7.2%), $192.1 million in FY2022 (+3.2%) and $186.2 million in FY2021 (+5.5%).
- Quarterly Selling, General & Administrative has run from a low of $45.5 million in Q3 2021 to a high of $57.5 million in Q1 2026 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2026, with growth of 13.6%; the weakest was Q4 2021, with a decline of 5.9%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $57.5 million (Q1 2026), $52.2 million (Q4 2025) and $53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 74.00 Mn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | - |
| 10 | Minerals Technologies | 1.95 Bn | 617.84 Mn | 133.80 Mn | 53.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 53.30 Mn |
| Apr 5, 2026 | 57.50 Mn |
| Dec 31, 2025 | 52.20 Mn |
| Sep 28, 2025 | 53.00 Mn |
| Jun 29, 2025 | 52.20 Mn |
| Mar 30, 2025 | 50.60 Mn |
| Dec 31, 2024 | 52.80 Mn |
| Sep 29, 2024 | 50.10 Mn |
| Jun 30, 2024 | 53.30 Mn |
| Mar 31, 2024 | 53.00 Mn |
| Dec 31, 2023 | 51.00 Mn |
| Oct 1, 2023 | 50.90 Mn |
| Jul 2, 2023 | 51.80 Mn |
| Apr 2, 2023 | 52.30 Mn |
| Dec 31, 2022 | 48.50 Mn |
| Oct 2, 2022 | 46.00 Mn |
| Jul 3, 2022 | 48.80 Mn |
| Apr 3, 2022 | 48.80 Mn |
| Dec 31, 2021 | 46.30 Mn |
| Oct 3, 2021 | 45.50 Mn |
API Access
Minerals Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();