Minerals Technologies (MTX) Inventory (2009 - 2026)
Minerals Technologies (MTX) recorded Inventory of $355.6 million in Q2 2026, down 1.1% from $359.6 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Minerals Technologies (MTX) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Minerals Technologies reported Inventory of $350.2 million, up 2.4% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $342.1 million in FY2024 (+5.1%), $325.4 million in FY2023 (-6.7%), $348.8 million in FY2022 (+17.2%) and $297.7 million in FY2021 (+19.9%).
- Quarterly Inventory has ranged from $282.1 million in Q3 2021 to $370.1 million in Q1 2023 over the past five years.
- On a year-over-year basis, Inventory rose in seven of the last eight quarters, with growth averaging 4.0%.
- Peak year-over-year performance for Inventory in the last five years was growth of 35.0% in Q1 2022, against a decline of 11.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $357.9 million (Q1 2026), $350.2 million (Q4 2025) and $363.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 4.40 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 1.62 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 19.28 Bn |
| 10 | Minerals Technologies | 2.08 Bn | 784.15 Mn | 133.80 Mn | 355.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 355.60 Mn |
| Apr 5, 2026 | 357.90 Mn |
| Dec 31, 2025 | 350.20 Mn |
| Sep 28, 2025 | 363.70 Mn |
| Jun 29, 2025 | 359.60 Mn |
| Mar 30, 2025 | 352.50 Mn |
| Dec 31, 2024 | 342.10 Mn |
| Sep 29, 2024 | 342.20 Mn |
| Jun 30, 2024 | 333.00 Mn |
| Mar 31, 2024 | 326.00 Mn |
| Dec 31, 2023 | 325.40 Mn |
| Oct 1, 2023 | 337.50 Mn |
| Jul 2, 2023 | 354.70 Mn |
| Apr 2, 2023 | 370.10 Mn |
| Dec 31, 2022 | 348.80 Mn |
| Oct 2, 2022 | 344.60 Mn |
| Jul 3, 2022 | 339.90 Mn |
| Apr 3, 2022 | 333.80 Mn |
| Dec 31, 2021 | 297.70 Mn |
| Oct 3, 2021 | 282.10 Mn |
API Access
Minerals Technologies Inventory 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=inventory&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();