Materialise (MTLS) Operating Income (2013 - 2026)
Materialise's Operating Income was $3.24 million in the quarter ended Jun 30, 2026, up 4.8% from $3.09 million a year earlier and up 32.3% 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 $12.25 million through Jun 30, 2026, up 73.2% 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, -$1.66 million in the year ended Dec 31, 2022 and $13.84 million in the year ended Dec 31, 2021.
- Quarterly Operating Income has moved between -$1.59 million (the quarter ended Dec 31, 2022) and $5.64 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Operating Income was higher in three of the last six quarters, with growth averaging 42.7%.
- Per Business Quant data, MTLS's Operating Income in the three quarters before the quarter ended Jun 30, 2026 was $2.45 million (quarter ended Mar 31, 2026), $3.62 million (quarter ended Dec 31, 2025) and $2.95 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 912.00 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 6.73 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 2.33 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.82 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.33 Bn |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn | 3.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | -1.66 Mn |
| Sep 30, 2022 | -275,000.00 |
| Jun 30, 2022 | -1.13 Mn |
| Mar 31, 2022 | 54,000.00 |
| Dec 31, 2021 | 5.64 Mn |
| Sep 30, 2021 | 5.25 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();