Minerals Technologies (MTX) Total Non-Current Liabilities (2009 - 2026)
Minerals Technologies (MTX) reported Total Non-Current Liabilities of $1.83 billion for Q2 2026, up 9.5% from $1.67 billion a year earlier and up 13.7% from the prior quarter.
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Analysis
Minerals Technologies (MTX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Minerals Technologies posted Total Non-Current Liabilities of $1.62 billion, up 7.4% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.51 billion in FY2024 (-3.3%), $1.56 billion in FY2023 (-6.9%), $1.67 billion in FY2022 (+1.0%) and $1.66 billion in FY2021 (+5.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2015.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 3.6%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 9.5%); the low point was Q1 2024 (a decline of 8.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.61 billion (Q1 2026), $1.62 billion (Q4 2025) and $1.65 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 46.15 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 15.38 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 23.61 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 19.93 Bn |
| 10 | Minerals Technologies | 1.95 Bn | 617.84 Mn | 133.80 Mn | 1.83 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 1.83 Bn |
| Apr 5, 2026 | 1.61 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 28, 2025 | 1.65 Bn |
| Jun 29, 2025 | 1.67 Bn |
| Mar 30, 2025 | 1.67 Bn |
| Dec 31, 2024 | 1.51 Bn |
| Sep 29, 2024 | 1.54 Bn |
| Jun 30, 2024 | 1.55 Bn |
| Mar 31, 2024 | 1.54 Bn |
| Dec 31, 2023 | 1.56 Bn |
| Oct 1, 2023 | 1.61 Bn |
| Jul 2, 2023 | 1.63 Bn |
| Apr 2, 2023 | 1.68 Bn |
| Dec 31, 2022 | 1.67 Bn |
| Oct 2, 2022 | 1.74 Bn |
| Jul 3, 2022 | 1.70 Bn |
| Apr 3, 2022 | 1.69 Bn |
| Dec 31, 2021 | 1.66 Bn |
| Oct 3, 2021 | 1.69 Bn |
API Access
Minerals Technologies Total Non-Current 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-non-current-liabilities&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();