Minerals Technologies (MTX) Total Debt (2009 - 2026)
Minerals Technologies (MTX) recorded Total Debt of $964.9 million in Q2 2026, down 1.9% from $983.3 million a year earlier and down 0.1% from the prior quarter.
Powered by 
Analysis
Minerals Technologies (MTX) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Minerals Technologies reported Total Debt of $961.7 million, down 1.0% from FY2024.
- Annual Total Debt has declined for three straight years, though with a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- Across earlier years, Total Debt came in at $971.2 million in FY2024 (-4.3%), $1.01 billion in FY2023 (-4.5%), $1.06 billion in FY2022 (+4.5%) and $1.02 billion in FY2021 (+8.9%).
- Quarterly Total Debt has ranged from $961.7 million in Q4 2025 to $1.06 billion in Q3 2022 over the past five years.
- On a year-over-year basis, Total Debt has declined for 13 consecutive quarters, with an average decline of 2.2% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 12.2% in Q2 2022, against a decline of 5.6% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $966.2 million (Q1 2026), $961.7 million (Q4 2025) and $977.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 21.82 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 7.99 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 22.18 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 5.08 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 9.39 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 196.83 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 4.68 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 7.10 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 16.31 Bn |
| 10 | Minerals Technologies | 1.95 Bn | 617.84 Mn | 133.80 Mn | 958.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 958.90 Mn |
| Apr 5, 2026 | 966.20 Mn |
| Dec 31, 2025 | 961.70 Mn |
| Sep 28, 2025 | 977.70 Mn |
| Jun 29, 2025 | 983.30 Mn |
| Mar 30, 2025 | 986.40 Mn |
| Dec 31, 2024 | 971.20 Mn |
| Sep 29, 2024 | 982.90 Mn |
| Jun 30, 2024 | 991.40 Mn |
| Mar 31, 2024 | 1.00 Bn |
| Dec 31, 2023 | 1.01 Bn |
| Oct 1, 2023 | 1.04 Bn |
| Jul 2, 2023 | 1.04 Bn |
| Apr 2, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Oct 2, 2022 | 1.06 Bn |
| Jul 3, 2022 | 1.05 Bn |
| Apr 3, 2022 | 1.05 Bn |
| Dec 31, 2021 | 1.02 Bn |
| Oct 3, 2021 | 1.04 Bn |
API Access
Minerals Technologies Total Debt 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-debt&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();