Minerals Technologies (MTX) Long-Term Debt Repayments (2009 - 2026)
Minerals Technologies' Long-Term Debt Repayments came in at $1.8 million for Q2 2026, up 12.5% from $1.6 million a year earlier and up 20.0% from the prior quarter.
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Analysis
Minerals Technologies (MTX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 5, 2026, Minerals Technologies reported Long-Term Debt Repayments of $8.3 million, down 98.4% year-over-year; for FY2025, it was $6.6 million, down 98.8% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -53.1% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $533.6 million in FY2024, $14.8 million in FY2023 (-97.3%), $552.3 million in FY2022 and $1.2 million in FY2021 (-99.6%).
- The five-year range for quarterly Long-Term Debt Repayments is $200,000 (Q3 2021) to $548.2 million (Q3 2022).
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2026 (growth of 12.5%), and the weakest in Q3 2021 (a decline of 99.9%).
- Business Quant data shows MTX's Long-Term Debt Repayments at $1.5 million (Q1 2026), $3.4 million (Q4 2025) and $1.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | 26.00 Mn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | 985.00 Mn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | 47.00 Mn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 33.00 Mn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | - |
| 10 | Minerals Technologies | 1.99 Bn | 661.69 Mn | 133.80 Mn | 1.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 1.80 Mn |
| Apr 5, 2026 | 1.50 Mn |
| Dec 31, 2025 | 3.40 Mn |
| Sep 28, 2025 | 1.60 Mn |
| Jun 29, 2025 | 1.60 Mn |
| Dec 31, 2024 | 526.40 Mn |
| Jun 30, 2024 | 3.60 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 3.80 Mn |
| Oct 1, 2023 | 3.60 Mn |
| Jul 2, 2023 | 3.60 Mn |
| Apr 2, 2023 | 3.80 Mn |
| Dec 31, 2022 | 3.60 Mn |
| Oct 2, 2022 | 548.20 Mn |
| Jul 3, 2022 | 200,000.00 |
| Apr 3, 2022 | 300,000.00 |
| Dec 31, 2021 | 200,000.00 |
| Oct 3, 2021 | 200,000.00 |
| Jul 4, 2021 | 300,000.00 |
| Apr 4, 2021 | 500,000.00 |
API Access
Minerals Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();