Materialise (MTLS) Income After Tax (2013 - 2026)
Materialise (MTLS) posted Income After Tax of $1.87 million for the quarter ended Sep 30, 2026, down 45.9% from $3.45 million a year earlier and down 41.0% from the prior quarter.
Materialise (MTLS) Income After Tax (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Income After Tax at Materialise was $14.32 million, up 290.5% year-over-year; for the year ended Dec 31, 2025, it was $8.72 million, down 39.9% from the prior year.
- In prior years, Materialise's Income After Tax was $14.51 million in the year ended Dec 31, 2024 (+100.4%), $7.24 million in the year ended Dec 31, 2023, -$2.27 million in the year ended Dec 31, 2022 and $15.56 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Sep 30, 2026 stands as the lowest quarterly Income After Tax since the quarter ended Jun 30, 2025.
- The strongest year-over-year quarter for Income After Tax in the past five years was the quarter ended Jun 30, 2024, with growth of 905.1%; the weakest was the quarter ended Sep 30, 2022, with a decline of 77.0%.
- According to Business Quant data, Income After Tax for the three prior quarters was $3.17 million (quarter ended Jun 30, 2026), $3.68 million (quarter ended Mar 31, 2026) and $5.6 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.12 Bn | 372.94 Bn | 1.93 Bn | 1.13 Bn |
| 2 | Oracle | 355.12 Bn | 227.25 Bn | - | 4.76 Bn |
| 3 | Sap Se | 277.13 Bn | 204.53 Bn | 8.64 Bn | 4.30 Bn |
| 4 | Salesforce | 176.39 Bn | 132.27 Bn | 8.70 Bn | 3.53 Bn |
| 5 | Automatic Data Processing | 121.01 Bn | 107.81 Bn | 2.53 Bn | 1.13 Bn |
| 6 | ServiceNow | 108.09 Bn | 87.35 Bn | 2.90 Bn | 277.00 Mn |
| 7 | Intuit | 93.02 Bn | 72.37 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 73.30 Bn | 72.40 Bn | - | - |
| 9 | Strategy | 51.57 Bn | 38.70 Bn | 89.63 Mn | 19.53 Bn |
| 10 | Materialise | 402.25 Mn | -234.30 Mn | 44.91 Mn | 1.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.87 Mn |
| Jun 30, 2026 | 3.17 Mn |
| Mar 31, 2026 | 3.68 Mn |
| Dec 31, 2025 | 5.60 Mn |
| Sep 30, 2025 | 3.45 Mn |
| Jun 30, 2025 | -954,242.02 |
| Mar 31, 2025 | -70,476.26 |
| Dec 31, 2024 | 1.24 Mn |
| Sep 30, 2024 | 3.64 Mn |
| Jun 30, 2024 | 6.24 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | -2.32 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 620,686.90 |
| Mar 31, 2023 | 5.53 Mn |
| Dec 31, 2022 | -5.50 Mn |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 2.24 Mn |
| Mar 31, 2022 | 811,450.17 |
| Dec 31, 2021 | 6.57 Mn |
Materialise Income After Tax 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=profit-after-tax&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();