Minerals Technologies (MTX) Long-Term Debt Issuances (2011 - 2016)
Minerals Technologies' Long-Term Debt Issuances was $575 million in FY2024.
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Analysis
Minerals Technologies (MTX) Long-Term Debt Issuances (2011 - 2016) Analysis & Trends
From FY2011 onward, Minerals Technologies has reported Long-Term Debt Issuances for 8 years.
- Long-Term Debt Issuances shows a four-year compound annual growth rate of 9.5% (FY2020 to FY2024).
- The FY2024 figure marks the highest annual Long-Term Debt Issuances since FY2014.
- Per Business Quant data, Long-Term Debt Issuances in earlier years was $550 million in FY2022 and $400 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 1.25 Bn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | - |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 940.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 32.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | Minerals Technologies | 2.00 Bn | 699.16 Mn | 133.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 6.00 Mn |
| Apr 3, 2016 | 1.20 Mn |
| Dec 31, 2015 | 1.60 Mn |
| Sep 27, 2015 | 1.10 Mn |
| Jun 28, 2015 | 6.60 Mn |
| Mar 29, 2015 | 2.50 Mn |
| Dec 31, 2014 | 800,000.00 |
| Sep 28, 2014 | 900,000.00 |
| Jun 29, 2014 | 1.54 Bn |
| Dec 31, 2013 | 75.00 Mn |
| Apr 3, 2011 | 1.60 Mn |
API Access
Minerals Technologies Long-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=long-term-debt-issuances&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-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=long-term-debt-issuances&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();