Materialise (MTLS) Operating Income (2013 - 2026)
Materialise's Operating Income was $1.55 million in the quarter ended Sep 30, 2026, down 47.6% from $2.95 million a year earlier and down 52.3% from the prior quarter.
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Analysis
Materialise (MTLS) Operating Income (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Materialise's Operating Income was $10.85 million through Sep 30, 2026, up 105.2% year-over-year; for the year ended Dec 31, 2025, it was $10.1 million, down 1.1% from the prior year.
- In earlier years, Operating Income was $10.21 million in the year ended Dec 31, 2024 (+68.0%), $6.08 million in the year ended Dec 31, 2023, -$3.03 million in the year ended Dec 31, 2022 and $14.46 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Sep 30, 2026 marks the lowest quarterly Operating Income since the quarter ended Mar 31, 2025.
- Compared with a year earlier, Operating Income was higher in two of the last six quarters, with growth averaging 20.3%.
- The best year-over-year quarter for Operating Income over five years was the quarter ended Mar 31, 2026 (growth of 305.3%); the worst was the quarter ended Mar 31, 2022 (a decline of 84.3%).
- Per Business Quant data, MTLS's Operating Income in the three quarters before the quarter ended Sep 30, 2026 was $3.24 million (quarter ended Jun 30, 2026), $2.45 million (quarter ended Mar 31, 2026) and $3.62 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 1.08 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 6.73 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 3.37 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 2.33 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -1.65 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 385.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 20.91 Bn |
| 10 | Materialise | 398.11 Mn | -238.44 Mn | 44.91 Mn | 1.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.55 Mn |
| Jun 30, 2026 | 3.24 Mn |
| Mar 31, 2026 | 2.45 Mn |
| Dec 31, 2025 | 3.62 Mn |
| Sep 30, 2025 | 2.95 Mn |
| Jun 30, 2025 | 3.09 Mn |
| Mar 31, 2025 | 603,781.67 |
| Dec 31, 2024 | -1.35 Mn |
| Sep 30, 2024 | 4.74 Mn |
| Jun 30, 2024 | 4.09 Mn |
| Mar 31, 2024 | 2.81 Mn |
| Dec 31, 2023 | -1.20 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | -650,087.86 |
| Mar 31, 2023 | 5.36 Mn |
| Dec 31, 2022 | -1.59 Mn |
| Sep 30, 2022 | -284,333.36 |
| Jun 30, 2022 | -1.16 Mn |
| Mar 31, 2022 | 54,994.55 |
| Dec 31, 2021 | 5.69 Mn |
API Access
Materialise Operating Income 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=operating-income&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();