Metallus (MTUS) Total Liabilities (2013 - 2026)
Metallus' Total Liabilities was $451 million in Q2 2026, up 6.9% from $422 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Metallus (MTUS) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Metallus came in at $454.2 million, up 6.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $426.2 million in FY2024 (-3.9%), $443.7 million in FY2023 (+12.2%), $395.5 million in FY2022 (-20.0%) and $494.3 million in FY2021 (+1.6%).
- Quarterly Total Liabilities has moved between $384.1 million (Q2 2024) and $495.8 million (Q3 2021) over five years.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2023 (growth of 12.2%); the worst was Q3 2022 (a decline of 21.9%).
- Per Business Quant data, MTUS's Total Liabilities in the three quarters before Q2 2026 was $455.2 million (Q1 2026), $454.2 million (Q4 2025) and $452.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 42.33 Bn |
| 10 | Metallus | 786.29 Mn | 225.49 Mn | 34.10 Mn | 451.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 451.00 Mn |
| Mar 31, 2026 | 455.20 Mn |
| Dec 31, 2025 | 454.20 Mn |
| Sep 30, 2025 | 452.70 Mn |
| Jun 30, 2025 | 422.00 Mn |
| Mar 31, 2025 | 415.40 Mn |
| Dec 31, 2024 | 426.20 Mn |
| Sep 30, 2024 | 420.70 Mn |
| Jun 30, 2024 | 384.10 Mn |
| Mar 31, 2024 | 426.50 Mn |
| Dec 31, 2023 | 443.70 Mn |
| Sep 30, 2023 | 423.50 Mn |
| Jun 30, 2023 | 436.70 Mn |
| Mar 31, 2023 | 443.90 Mn |
| Dec 31, 2022 | 395.50 Mn |
| Sep 30, 2022 | 387.20 Mn |
| Jun 30, 2022 | 448.40 Mn |
| Mar 31, 2022 | 482.80 Mn |
| Dec 31, 2021 | 494.30 Mn |
| Sep 30, 2021 | 495.80 Mn |
API Access
Metallus Total 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-liabilities&ticker=MTUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MTUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();