Materialise (MTLS) Other Operating Expenses (2013 - 2026)
Materialise (MTLS) reported Other Operating Expenses of $16.02 million for the quarter ended Sep 30, 2026, up 13.3% from $14.14 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Materialise (MTLS) Other Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Materialise's Other Operating Expenses came in at $59.03 million, up 0.4% year-over-year; for the year ended Dec 31, 2025, it came in at -$31.94 million.
- By year, Other Operating Expenses came in at -$28.55 million in the year ended Dec 31, 2024, -$231.26 million in the year ended Dec 31, 2023, -$2.83 million in the year ended Dec 31, 2022 and $113.29 million in the year ended Dec 31, 2021 (+341.4%).
- The figure for the quarter ended Sep 30, 2026 ranks as the highest quarterly Other Operating Expenses since the quarter ended Jun 30, 2025.
- Year over year, Other Operating Expenses gained in five of the last eight quarters, with growth averaging 111.7%.
- The high point for year-over-year Other Operating Expenses in five years was the quarter ended Dec 31, 2024 (growth of 836.4%); the low point was the quarter ended Dec 31, 2023 (a decline of 85.3%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at $15.02 million (quarter ended Jun 30, 2026), $14.5 million (quarter ended Mar 31, 2026) and $13.48 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | Materialise | 398.11 Mn | -238.44 Mn | 44.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.31 Mn |
| 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 | 605,006.69 |
| Sep 30, 2022 | 1.18 Mn |
| Jun 30, 2022 | 531,394.23 |
| Mar 31, 2022 | 1.05 Mn |
| Dec 31, 2021 | 1.44 Mn |
API Access
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_KEYimport 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();