Minerals Technologies (MTX) Receivables (2009 - 2026)
Minerals Technologies (MTX) posted Receivables of $412.6 million for Q2 2026, down 3.1% from $425.9 million a year earlier and unchanged from the prior quarter.
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Analysis
Minerals Technologies (MTX) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Minerals Technologies' Receivables came in at $400.1 million, up 3.9% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior years, Minerals Technologies' Receivables was $385.2 million in FY2024 (-3.5%), $399.1 million in FY2023 (-1.2%), $404 million in FY2022 (+9.8%) and $367.8 million in FY2021 (-0.3%).
- Quarterly Receivables has run from a low of $367.8 million in Q4 2021 to a high of $430.6 million in Q3 2022 over five years.
- On a year-over-year basis, Receivables increased in five of the last eight quarters, with growth averaging 0.7%.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2022, with growth of 16.7%; the weakest was Q1 2024, with a decline of 5.9%.
- According to Business Quant data, Receivables for the three prior quarters was $412.7 million (Q1 2026), $400.1 million (Q4 2025) and $413.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 4.66 Bn |
| 2 | Southern Copper | 164.24 Bn | 143.03 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Rio Tinto | 141.58 Bn | 102.09 Bn | - | 5.00 Bn |
| 4 | Newmont | 124.17 Bn | 92.18 Bn | 4.03 Bn | 1.18 Bn |
| 5 | Freeport-Mcmoran | 98.56 Bn | 82.60 Bn | 2.19 Bn | 716.00 Mn |
| 6 | Agnico Eagle Mines | 93.87 Bn | 83.50 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 856.00 Mn |
| 8 | Nucor | 59.81 Bn | 49.19 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 48.19 Bn | 27.21 Bn | - | 4.51 Bn |
| 10 | Minerals Technologies | 1.95 Bn | 619.08 Mn | 133.80 Mn | 412.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | 412.60 Mn |
| Apr 5, 2026 | 412.70 Mn |
| Dec 31, 2025 | 400.10 Mn |
| Sep 28, 2025 | 413.40 Mn |
| Jun 29, 2025 | 425.90 Mn |
| Mar 30, 2025 | 405.90 Mn |
| Dec 31, 2024 | 385.20 Mn |
| Sep 29, 2024 | 412.50 Mn |
| Jun 30, 2024 | 405.10 Mn |
| Mar 31, 2024 | 396.30 Mn |
| Dec 31, 2023 | 399.10 Mn |
| Oct 1, 2023 | 418.30 Mn |
| Jul 2, 2023 | 419.80 Mn |
| Apr 2, 2023 | 421.10 Mn |
| Dec 31, 2022 | 404.00 Mn |
| Oct 2, 2022 | 430.60 Mn |
| Jul 3, 2022 | 429.90 Mn |
| Apr 3, 2022 | 397.10 Mn |
| Dec 31, 2021 | 367.80 Mn |
| Oct 3, 2021 | 383.40 Mn |
API Access
Minerals Technologies Receivables 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=receivables&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();