Minerals Technologies (MTX) Short-Term Debt issuances (2020 - 2025)
Minerals Technologies' Short-Term Debt issuances came in at -$4.3 million for Q3 2025.
Minerals Technologies (MTX) Short-Term Debt issuances (2020 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 28, 2025, Minerals Technologies reported Short-Term Debt issuances of $8.2 million; for FY2022, it was $39.3 million, down 60.9% from FY2021.
- Short-Term Debt issuances carries a four-year compound annual growth rate of -23.2% (FY2018 to FY2022).
- Going back by year, Short-Term Debt issuances was $100.5 million in FY2021 and $113 million in FY2018.
- The Q3 2025 figure represents the lowest quarterly Short-Term Debt issuances since Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | - |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | - |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | - |
| 10 | Minerals Technologies | 1.96 Bn | 635.57 Mn | 133.80 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2025 | -4.30 Mn |
| Jun 29, 2025 | -2.00 Mn |
| Mar 30, 2025 | 14.50 Mn |
| Dec 31, 2022 | 800,000.00 |
| Oct 2, 2022 | 8.50 Mn |
| Apr 3, 2022 | 30.00 Mn |
| Oct 3, 2021 | 100.00 Mn |
| Jul 4, 2021 | 500,000.00 |
| Jun 28, 2020 | -113.00 Mn |
| Mar 29, 2020 | 113.00 Mn |
Minerals Technologies Short-Term Debt issuances 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=short-term-debt-issuances&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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=short-term-debt-issuances&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();