Minerals Technologies (MTX) Goodwill (2009 - 2026)
Minerals Technologies' Goodwill came in at $915.9 million for Q2 2026, unchanged from $915.9 million a year earlier and unchanged from the prior quarter.
Analysis
Minerals Technologies (MTX) Goodwill (2009 - 2026) Analysis & Trends
Going back to Q4 2009, Minerals Technologies' Goodwill data covers 66 quarters.
- Goodwill carries a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Going back by year, Goodwill was $913.8 million in FY2024 (unchanged), $913.6 million in FY2023 (-0.1%), $914.8 million in FY2022 (+0.8%) and $907.5 million in FY2021 (+12.2%).
- The five-year range for quarterly Goodwill is $905.7 million (Q1 2022) to $916.2 million (Q3 2025).
- Year-over-year, Goodwill increased in six of the last eight quarters, with growth averaging 0.1%.
- The fastest year-over-year change in Goodwill over five years came in Q2 2022 (growth of 13.2%), and the weakest in Q1 2024 (a decline of 0.2%).
- Business Quant data shows MTX's Goodwill at $915.6 million (Q1 2026), $915.9 million (Q4 2025) and $916.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 915.90 Mn |
| Apr 5, 2026 | 915.60 Mn |
| Dec 31, 2025 | 915.90 Mn |
| Sep 28, 2025 | 916.20 Mn |
| Jun 29, 2025 | 915.90 Mn |
| Mar 30, 2025 | 914.60 Mn |
| Dec 31, 2024 | 913.80 Mn |
| Sep 29, 2024 | 914.30 Mn |
| Jun 30, 2024 | 912.80 Mn |
| Mar 31, 2024 | 913.10 Mn |
| Dec 31, 2023 | 913.60 Mn |
| Oct 1, 2023 | 913.60 Mn |
| Jul 2, 2023 | 914.30 Mn |
| Apr 2, 2023 | 915.30 Mn |
| Dec 31, 2022 | 914.80 Mn |
| Oct 2, 2022 | 912.20 Mn |
| Jul 3, 2022 | 913.20 Mn |
| Apr 3, 2022 | 905.70 Mn |
| Dec 31, 2021 | 907.50 Mn |
| Oct 3, 2021 | 909.80 Mn |
API Access
Minerals Technologies Goodwill 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=goodwill&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();