Minerals Technologies (MTX) Total Liabilities (2009 - 2026)
Minerals Technologies' Total Liabilities came in at $1.94 billion for Q3 2026, up 10.7% from $1.75 billion a year earlier and up 1.0% from the prior quarter.
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Analysis
Minerals Technologies (MTX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Minerals Technologies' Total Liabilities was $1.72 billion, up 6.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.61 billion in FY2024 (-3.0%), $1.66 billion in FY2023 (-7.2%), $1.79 billion in FY2022 (-0.4%) and $1.79 billion in FY2021 (+4.9%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities since Q2 2016.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2026 (growth of 10.7%), and the weakest in Q1 2024 (a decline of 8.3%).
- Business Quant data shows MTX's Total Liabilities at $1.92 billion (Q2 2026), $1.7 billion (Q1 2026) and $1.72 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | 12.01 Bn |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | 61.80 Bn |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | 22.33 Bn |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | 11.67 Bn |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | 9.73 Bn |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | 27.51 Bn |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | 25.04 Bn |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | 13.69 Bn |
| 10 | Minerals Technologies | 1.92 Bn | 544.12 Mn | 129.20 Mn | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 4, 2026 | 1.94 Bn |
| Jul 5, 2026 | 1.92 Bn |
| Apr 5, 2026 | 1.70 Bn |
| Dec 31, 2025 | 1.72 Bn |
| Sep 28, 2025 | 1.75 Bn |
| Jun 29, 2025 | 1.77 Bn |
| Mar 30, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.61 Bn |
| Sep 29, 2024 | 1.65 Bn |
| Jun 30, 2024 | 1.65 Bn |
| Mar 31, 2024 | 1.64 Bn |
| Dec 31, 2023 | 1.66 Bn |
| Oct 1, 2023 | 1.72 Bn |
| Jul 2, 2023 | 1.75 Bn |
| Apr 2, 2023 | 1.79 Bn |
| Dec 31, 2022 | 1.79 Bn |
| Oct 2, 2022 | 1.85 Bn |
| Jul 3, 2022 | 1.83 Bn |
| Apr 3, 2022 | 1.82 Bn |
| Dec 31, 2021 | 1.79 Bn |
API Access
Minerals Technologies Total Liabilities 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=total-liabilities&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();