Materialise (MTLS) EBITDA (2013 - 2026)
Materialise's EBITDA came in at $7.68 million for the quarter ended Sep 30, 2026, down 18.0% from $9.37 million a year earlier and down 28.2% from the prior quarter.
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Analysis
Materialise (MTLS) EBITDA (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Materialise reported EBITDA of $37.52 million, up 52.0% year-over-year; for the year ended Dec 31, 2025, it came in at $34.62 million.
- EBITDA carries a five-year compound annual growth rate of 15.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBITDA was $25,976 in the year ended Dec 31, 2024 (-99.9%), $29.41 million in the year ended Dec 31, 2023 (+41.7%), $20.76 million in the year ended Dec 31, 2022 (-46.5%) and $38.78 million in the year ended Dec 31, 2021 (+125.9%).
- The figure for the quarter ended Sep 30, 2026 represents the lowest quarterly EBITDA since the quarter ended Mar 31, 2025.
- Year-over-year, EBITDA increased in two of the last five quarters, with growth averaging 1.6%.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Dec 31, 2021 (growth of 219.9%), and the weakest in the quarter ended Sep 30, 2024 (a decline of 99.7%).
- Business Quant data shows MTLS's EBITDA at $10.69 million (quarter ended Jun 30, 2026), $9.06 million (quarter ended Mar 31, 2026) and $10.09 million (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 1.09 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 10.13 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 3.75 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 3.89 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -1.19 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 954.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 20.93 Bn |
| 10 | Materialise | 398.11 Mn | -238.44 Mn | 44.91 Mn | 7.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.68 Mn |
| 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 |
| Sep 30, 2024 | 26,357.27 |
| 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 | 4.92 Mn |
| Sep 30, 2022 | 5.14 Mn |
| Jun 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 6.16 Mn |
| Dec 31, 2021 | 11.77 Mn |
| Sep 30, 2021 | 11.61 Mn |
API Access
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_KEYimport 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();