Minerals Technologies (MTX) Non Operating Interest Expenses (2013 - 2024)
Minerals Technologies' Non Operating Interest Expenses was $14.9 million in Q1 2024, up 4.9% from $14.2 million a year earlier but down 2.0% from the prior quarter.
Powered by 
Analysis
Minerals Technologies (MTX) Non Operating Interest Expenses (2013 - 2024) Analysis & Trends
On a trailing twelve-month basis, Minerals Technologies' Non Operating Interest Expenses was $59.9 million through Mar 31, 2024, up 24.0% year-over-year; for FY2023, it was $59.2 million, up 34.9% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 5.2% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $43.9 million in FY2022 (+18.0%), $37.2 million in FY2021 (-2.6%), $38.2 million in FY2020 (-11.6%) and $43.2 million in FY2019 (-5.9%).
- Quarterly Non Operating Interest Expenses has moved between $8.1 million (Q2 2020) and $15.3 million (Q3 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for eight straight quarters, with growth averaging 27.9% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 44.9%); the worst was Q2 2020 (a decline of 25.7%).
- Per Business Quant data, MTX's Non Operating Interest Expenses in the three quarters before Q1 2024 was $15.2 million (Q4 2023), $15.3 million (Q3 2023) and $14.5 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.29 Bn | 132.08 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 137.12 Bn | 97.62 Bn | - | - |
| 4 | Newmont | 119.50 Bn | 87.51 Bn | 4.03 Bn | - |
| 5 | Freeport-Mcmoran | 94.12 Bn | 78.16 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 88.24 Bn | 77.87 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 65.77 Bn | 40.97 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 58.81 Bn | 48.19 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 46.33 Bn | 25.35 Bn | - | - |
| 10 | Minerals Technologies | 1.98 Bn | 651.43 Mn | 133.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 14.90 Mn |
| Dec 31, 2023 | 15.20 Mn |
| Oct 1, 2023 | 15.30 Mn |
| Jul 2, 2023 | 14.50 Mn |
| Apr 2, 2023 | 14.20 Mn |
| Dec 31, 2022 | 12.70 Mn |
| Oct 2, 2022 | 11.00 Mn |
| Jul 3, 2022 | 10.40 Mn |
| Apr 3, 2022 | 9.80 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Oct 3, 2021 | 9.20 Mn |
| Jul 4, 2021 | 9.10 Mn |
| Apr 4, 2021 | 9.90 Mn |
| Dec 31, 2020 | 10.70 Mn |
| Sep 27, 2020 | 10.10 Mn |
| Jun 28, 2020 | 8.10 Mn |
| Mar 29, 2020 | 9.30 Mn |
| Dec 31, 2019 | 9.90 Mn |
| Sep 29, 2019 | 11.00 Mn |
| Jun 30, 2019 | 10.90 Mn |
API Access
Minerals Technologies Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();