Minerals Technologies (MTX) Research & Development (2009 - 2026)
Minerals Technologies (MTX) recorded Research & Development of $5.9 million in Q2 2026, up 3.5% from $5.7 million a year earlier but down 3.3% from the prior quarter.
Minerals Technologies (MTX) Research & Development (2009 - 2026) Analysis & Trends
On a TTM basis, Minerals Technologies' Research & Development came in at $23.4 million as of Jul 5, 2026, up 1.3% year-over-year; for FY2025, it was $22.9 million, down 0.4% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $23 million in FY2024 (+8.5%), $21.2 million in FY2023 (+3.9%), $20.4 million in FY2022 (+4.6%) and $19.5 million in FY2021 (-2.0%).
- Quarterly Research & Development has ranged from $4.6 million in Q3 2021 to $6.1 million in Q1 2026 over the past five years.
- On a year-over-year basis, Research & Development has increased for three consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 13.5% in Q3 2024, against a decline of 5.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.1 million (Q1 2026), $5.8 million (Q4 2025) and $5.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 14.90 Mn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 47.00 Mn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 53.00 Mn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 61.53 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 134.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | - |
| 10 | Minerals Technologies | 1.95 Bn | 617.84 Mn | 133.80 Mn | 5.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 5.90 Mn |
| Apr 5, 2026 | 6.10 Mn |
| Dec 31, 2025 | 5.80 Mn |
| Sep 28, 2025 | 5.60 Mn |
| Jun 29, 2025 | 5.70 Mn |
| Mar 30, 2025 | 5.80 Mn |
| Dec 31, 2024 | 5.70 Mn |
| Sep 29, 2024 | 5.90 Mn |
| Jun 30, 2024 | 5.80 Mn |
| Mar 31, 2024 | 5.60 Mn |
| Dec 31, 2023 | 5.10 Mn |
| Oct 1, 2023 | 5.20 Mn |
| Jul 2, 2023 | 5.60 Mn |
| Apr 2, 2023 | 5.30 Mn |
| Dec 31, 2022 | 5.20 Mn |
| Oct 2, 2022 | 5.10 Mn |
| Jul 3, 2022 | 5.00 Mn |
| Apr 3, 2022 | 5.10 Mn |
| Dec 31, 2021 | 5.00 Mn |
| Oct 3, 2021 | 4.60 Mn |
Minerals Technologies Research & Development 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=research-and-development&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();