Minerals Technologies (MTX) Total Current Liabilities (2009 - 2026)
Minerals Technologies' Total Current Liabilities was $828.5 million in Q2 2026, up 37.4% from $602.8 million a year earlier and up 52.5% from the prior quarter.
Minerals Technologies (MTX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Minerals Technologies came in at $555.4 million, up 39.7% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $397.7 million in FY2024 (-13.0%), $457.3 million in FY2023 (-9.0%), $502.6 million in FY2022 (+19.7%) and $419.8 million in FY2021 (+41.9%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Current Liabilities was higher in five of the last eight quarters, with growth averaging 18.6%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2022 (growth of 58.5%); the worst was Q1 2024 (a decline of 13.9%).
- Per Business Quant data, MTX's Total Current Liabilities in the three quarters before Q2 2026 was $543.4 million (Q1 2026), $555.4 million (Q4 2025) and $591.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 15.54 Bn |
| 2 | Southern Copper | 164.24 Bn | 143.03 Bn | 2.90 Bn | 2.13 Bn |
| 3 | Rio Tinto | 141.58 Bn | 102.09 Bn | - | 14.93 Bn |
| 4 | Newmont | 124.17 Bn | 92.18 Bn | 4.03 Bn | 5.23 Bn |
| 5 | Freeport-Mcmoran | 98.56 Bn | 82.60 Bn | 2.19 Bn | 6.86 Bn |
| 6 | Agnico Eagle Mines | 93.87 Bn | 83.50 Bn | 2.43 Bn | 1.93 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 3.20 Bn |
| 8 | Nucor | 59.81 Bn | 49.19 Bn | 2.03 Bn | 5.25 Bn |
| 9 | ArcelorMittal | 48.19 Bn | 27.21 Bn | - | 22.40 Bn |
| 10 | Minerals Technologies | 1.95 Bn | 619.08 Mn | 133.80 Mn | 828.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 828.50 Mn |
| Apr 5, 2026 | 543.40 Mn |
| Dec 31, 2025 | 555.40 Mn |
| Sep 28, 2025 | 591.50 Mn |
| Jun 29, 2025 | 602.80 Mn |
| Mar 30, 2025 | 599.90 Mn |
| Dec 31, 2024 | 397.70 Mn |
| Sep 29, 2024 | 464.00 Mn |
| Jun 30, 2024 | 453.60 Mn |
| Mar 31, 2024 | 441.80 Mn |
| Dec 31, 2023 | 457.30 Mn |
| Oct 1, 2023 | 473.50 Mn |
| Jul 2, 2023 | 472.20 Mn |
| Apr 2, 2023 | 513.00 Mn |
| Dec 31, 2022 | 502.60 Mn |
| Oct 2, 2022 | 493.50 Mn |
| Jul 3, 2022 | 465.90 Mn |
| Apr 3, 2022 | 455.10 Mn |
| Dec 31, 2021 | 419.80 Mn |
| Oct 3, 2021 | 423.30 Mn |
Minerals Technologies Total Current Liabilities 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-current-liabilities&ticker=MTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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-current-liabilities&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();