Materialise (MTLS) Other Operating Expenses (2013 - 2026)
Materialise (MTLS) reported Other Operating Expenses of $890,369 for the quarter ended Jun 30, 2026, down 38.8% from $1.46 million a year earlier and down 16.3% from the prior quarter.
Materialise (MTLS) Other Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Materialise's Other Operating Expenses came in at $4.46 million, up 5.1% year-over-year; for the year ended Dec 31, 2025, it was $4.28 million, down 6.3% from the prior year.
- Other Operating Expenses has a five-year compound annual growth rate of 19.2% (years ended Dec 2020 to Dec 2025).
- By year, Other Operating Expenses came in at $4.57 million in the year ended Dec 31, 2024, -$7.06 million in the year ended Dec 31, 2023, $633,000 in the year ended Dec 31, 2022 (-84.4%) and $4.05 million in the year ended Dec 31, 2021 (+127.8%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Other Operating Expenses since the quarter ended Mar 31, 2025.
- Year over year, Other Operating Expenses gained in five of the last seven quarters, with growth averaging 18.9%.
- The high point for year-over-year Other Operating Expenses in five years was the quarter ended Mar 31, 2026 (growth of 181.0%); the low point was the quarter ended Sep 30, 2021 (a decline of 69.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.06 million (quarter ended Mar 31, 2026), $1.46 million (quarter ended Dec 31, 2025) and $1.04 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn |
| 10 | Materialise | 516.84 Mn | 516.74 Mn | 46.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 890,369.18 |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | 1.46 Mn |
| Sep 30, 2025 | 1.04 Mn |
| Jun 30, 2025 | 1.46 Mn |
| Mar 31, 2025 | 378,678.40 |
| Dec 31, 2024 | 1.45 Mn |
| Sep 30, 2024 | 957,647.41 |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 857,139.43 |
| Dec 31, 2023 | -3.54 Mn |
| Sep 30, 2023 | 772,899.24 |
| Jun 30, 2023 | -4.87 Mn |
| Mar 31, 2023 | 557,064.40 |
| Dec 31, 2022 | 633,000.00 |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 518,000.00 |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 411,000.00 |
Materialise Other 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=other-operating-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();