Materialise (MTLS) Restructuring Costs (2017 - 2026)
Materialise (MTLS) posted Restructuring Costs of $68.58 for the quarter ended Jun 30, 2026, down 66.0% from $201.49 a year earlier.
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Analysis
Materialise (MTLS) Restructuring Costs (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Materialise was $529.60, down 98.0% year-over-year; for the year ended Dec 31, 2025, it came in at $451.92, down 98.3% from the prior year.
- In prior years, Materialise's Restructuring Costs was $25,976 in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Restructuring Costs in data going back to the quarter ended Sep 30, 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.58 |
| Sep 30, 2025 | 259.53 |
| Jun 30, 2025 | 201.49 |
| Sep 30, 2024 | 26,357.27 |
| Jun 30, 2021 | 20,472.61 |
| Mar 31, 2021 | 464,400.90 |
| Sep 30, 2019 | 155,782.20 |
| Dec 31, 2017 | 403,859.36 |
| Sep 30, 2017 | 312,566.83 |
API Access
Materialise 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=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "MTLS", "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=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();