Metallus (MTUS) Restructuring Costs (2014 - 2025)
Metallus (MTUS) reported Restructuring Costs of $2.7 million for FY2025.
Analysis
Metallus (MTUS) Restructuring Costs (2014 - 2025) Analysis & Trends
Dating back to FY2013, Metallus' Restructuring Costs record includes 9 years.
- Restructuring Costs has a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Restructuring Costs since FY2021.
- According to Business Quant data, Restructuring Costs came in at $800,000 in FY2022 (-88.1%) and $6.7 million in FY2021 (+116.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | Metallus | 857.79 Mn | 296.99 Mn | 34.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.70 Mn |
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2022 | 400,000.00 |
| Dec 31, 2021 | 4.70 Mn |
| Sep 30, 2021 | 400,000.00 |
| Jun 30, 2021 | 1.00 Mn |
| Mar 31, 2021 | 500,000.00 |
| Dec 31, 2020 | 1.50 Mn |
| Sep 30, 2020 | 700,000.00 |
| Jun 30, 2020 | 300,000.00 |
| Mar 31, 2020 | 600,000.00 |
| Dec 31, 2019 | 5.00 Mn |
| Jun 30, 2019 | 3.60 Mn |
| Jun 30, 2016 | 300,000.00 |
| Dec 31, 2015 | 3.70 Mn |
| Sep 30, 2015 | 800,000.00 |
| Jun 30, 2015 | 1.60 Mn |
| Mar 31, 2015 | 400,000.00 |
| Dec 31, 2014 | 1.20 Mn |
API Access
Metallus Restructuring Costs 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=restructuring-costs&ticker=MTUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MTUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();