Materialise (MTLS) EBITDA (2013 - 2026)
Materialise's EBITDA came in at $10.69 million for the quarter ended Jun 30, 2026, up 19.5% from $8.95 million a year earlier and up 18.0% from the prior quarter.
Materialise (MTLS) EBITDA (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Materialise reported EBITDA of $39.21 million, up 27.8% year-over-year; for the year ended Dec 31, 2025, it came in at $34.62 million, up 2.4% from the prior year.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 32.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBITDA was $33.81 million in the year ended Dec 31, 2024 (+15.0%), $29.41 million in the year ended Dec 31, 2023 (+37.6%), $21.37 million in the year ended Dec 31, 2022 (-15.7%) and $25.34 million in the year ended Dec 31, 2021 (+202.8%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly EBITDA since the quarter ended Sep 30, 2024.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 19.8% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Dec 31, 2021 (growth of 218.4%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 58.0%).
- Business Quant data shows MTLS's EBITDA at $9.06 million (quarter ended Mar 31, 2026), $10.09 million (quarter ended Dec 31, 2025) and $9.37 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 10.13 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.32 Bn |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn | 10.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.69 Mn |
| Mar 31, 2026 | 9.06 Mn |
| Dec 31, 2025 | 10.09 Mn |
| Sep 30, 2025 | 9.37 Mn |
| Jun 30, 2025 | 8.95 Mn |
| Mar 31, 2025 | 6.37 Mn |
| Dec 31, 2024 | 4.63 Mn |
| Sep 30, 2024 | 10.74 Mn |
| Jun 30, 2024 | 9.81 Mn |
| Mar 31, 2024 | 8.71 Mn |
| Dec 31, 2023 | 4.57 Mn |
| Sep 30, 2023 | 8.53 Mn |
| Jun 30, 2023 | 5.22 Mn |
| Mar 31, 2023 | 11.07 Mn |
| Dec 31, 2022 | 4.85 Mn |
| Sep 30, 2022 | 5.15 Mn |
| Jun 30, 2022 | 4.61 Mn |
| Mar 31, 2022 | 6.16 Mn |
| Dec 31, 2021 | 11.71 Mn |
| Sep 30, 2021 | 11.51 Mn |
Materialise EBITDA 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=ebitda&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();