Minerals Technologies (MTX) Shares Outstanding (Diluted) (2009 - 2026)
Minerals Technologies' Shares Outstanding (Diluted) was 31.1 million in Q2 2026, down 1.6% from 31.6 million a year earlier but up 0.3% from the prior quarter.
Minerals Technologies (MTX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Minerals Technologies came in at 31.4 million, down 2.8% from FY2024.
- Shares Outstanding (Diluted) has now declined for seven consecutive years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 32.3 million in FY2024 (-0.9%), 32.6 million in FY2023 (-0.6%), 32.8 million in FY2022 (-3.0%) and 33.8 million in FY2021 (-1.2%).
- Quarterly Shares Outstanding (Diluted) has moved between 31 million (Q1 2026) and 33.8 million (Q4 2021) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 20 straight quarters, with an average decline of 2.0% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Diluted) has ranged between 0.3% (Q3 2023) and 3.6% (Q3 2022) over the last five years.
- Per Business Quant data, MTX's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 31 million (Q1 2026), 31.4 million (Q4 2025) and 31.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 1.64 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 829.10 Mn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 1.63 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 1.07 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 1.44 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 503.43 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 1.71 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 228.50 Mn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 766.00 Mn |
| 10 | Minerals Technologies | 1.96 Bn | 635.57 Mn | 133.80 Mn | 31.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 31.10 Mn |
| Apr 5, 2026 | 31.00 Mn |
| Dec 31, 2025 | 31.40 Mn |
| Sep 28, 2025 | 31.30 Mn |
| Jun 29, 2025 | 31.60 Mn |
| Mar 30, 2025 | 31.90 Mn |
| Dec 31, 2024 | 32.30 Mn |
| Sep 29, 2024 | 32.30 Mn |
| Jun 30, 2024 | 32.40 Mn |
| Mar 31, 2024 | 32.40 Mn |
| Dec 31, 2023 | 32.60 Mn |
| Oct 1, 2023 | 32.50 Mn |
| Jul 2, 2023 | 32.60 Mn |
| Apr 2, 2023 | 32.50 Mn |
| Dec 31, 2022 | 32.80 Mn |
| Oct 2, 2022 | 32.60 Mn |
| Jul 3, 2022 | 32.90 Mn |
| Apr 3, 2022 | 33.20 Mn |
| Dec 31, 2021 | 33.80 Mn |
| Oct 3, 2021 | 33.80 Mn |
Minerals Technologies Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();