Materialise (MTLS) Current Taxes (2012 - 2026)
Materialise (MTLS) recorded Current Taxes of $1.09 million in the quarter ended Jun 30, 2026, up 71.3% from $633,897 a year earlier and up 6.7% from the prior quarter.
Materialise (MTLS) Current Taxes (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise reported Current Taxes of $845,099, down 45.5% from the prior year.
- Annual Current Taxes has a five-year compound annual growth rate of -5.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Current Taxes came in at $1.55 million in the year ended Dec 31, 2024 (-19.4%), $1.92 million in the year ended Dec 31, 2023 (+51.2%), $1.27 million in the year ended Dec 31, 2022 (+37.2%) and $926,600 in the year ended Dec 31, 2021 (-16.7%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Current Taxes since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Current Taxes rose in three of the last eight quarters, with an average decline of 21.2%.
- Peak year-over-year performance for Current Taxes in the last five years was growth of 158.6% in the quarter ended Jun 30, 2023, against a decline of 85.9% in the quarter ended Sep 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.02 million (quarter ended Mar 31, 2026), $870,705 (quarter ended Dec 31, 2025) and $453,593 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 1.58 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 110.30 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | - |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn | 1.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Mn |
| Mar 31, 2026 | 1.02 Mn |
| Dec 31, 2025 | 870,704.55 |
| Sep 30, 2025 | 453,593.38 |
| Jun 30, 2025 | 633,897.43 |
| Mar 31, 2025 | 827,833.05 |
| Dec 31, 2024 | 1.53 Mn |
| Sep 30, 2024 | 3.21 Mn |
| Jun 30, 2024 | 3.13 Mn |
| Mar 31, 2024 | 2.34 Mn |
| Dec 31, 2023 | 1.91 Mn |
| Sep 30, 2023 | 2.47 Mn |
| Jun 30, 2023 | 2.32 Mn |
| Mar 31, 2023 | 2.06 Mn |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 896,327.62 |
| Mar 31, 2022 | 810,327.83 |
| Dec 31, 2021 | 895,729.25 |
| Sep 30, 2021 | 1.55 Mn |
Materialise Current Taxes 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=current-taxes&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();