Metallus (MTUS) Operating Expenses (2013 - 2026)
Metallus' Operating Expenses came in at $23.7 million for Q2 2026, up 3.5% from $22.9 million a year earlier and up 6.8% from the prior quarter.
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Analysis
Metallus (MTUS) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Metallus reported Operating Expenses of $95.4 million, up 5.9% year-over-year; for FY2025, it was $96.7 million, up 10.3% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $87.7 million in FY2024 (+3.7%), $84.6 million in FY2023 (+13.4%), $74.6 million in FY2022 (-11.1%) and $83.9 million in FY2021 (+5.1%).
- The five-year range for quarterly Operating Expenses is $16.2 million (Q3 2022) to $27.2 million (Q3 2025).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 30.5%), and the weakest in Q3 2022 (a decline of 20.2%).
- Business Quant data shows MTUS's Operating Expenses at $22.2 million (Q1 2026), $22.3 million (Q4 2025) and $27.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Metallus | 786.29 Mn | 225.49 Mn | 34.10 Mn | 23.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.70 Mn |
| Mar 31, 2026 | 22.20 Mn |
| Dec 31, 2025 | 22.30 Mn |
| Sep 30, 2025 | 27.20 Mn |
| Jun 30, 2025 | 22.90 Mn |
| Mar 31, 2025 | 24.30 Mn |
| Dec 31, 2024 | 20.40 Mn |
| Sep 30, 2024 | 22.50 Mn |
| Jun 30, 2024 | 20.70 Mn |
| Mar 31, 2024 | 24.10 Mn |
| Dec 31, 2023 | 22.70 Mn |
| Sep 30, 2023 | 20.50 Mn |
| Jun 30, 2023 | 20.40 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 17.40 Mn |
| Sep 30, 2022 | 16.20 Mn |
| Jun 30, 2022 | 22.10 Mn |
| Mar 31, 2022 | 18.90 Mn |
| Dec 31, 2021 | 21.50 Mn |
| Sep 30, 2021 | 20.30 Mn |
API Access
Metallus Operating Expenses 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=operating-expenses&ticker=MTUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MTUS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=MTUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();