Materialise (MTLS) Goodwill & Intangibles (2012 - 2026)
Materialise's Goodwill & Intangibles was $77.28 million in the quarter ended Jun 30, 2026, down 3.8% from $80.37 million a year earlier and down 2.6% from the prior quarter.
Materialise (MTLS) Goodwill & Intangibles (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Goodwill & Intangibles at Materialise came in at $77.73 million, down 2.1% from the prior year.
- Goodwill & Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 71.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Goodwill & Intangibles was $79.4 million in the year ended Dec 31, 2024 (-1.6%), $80.72 million in the year ended Dec 31, 2023 (-3.5%), $83.69 million in the year ended Dec 31, 2022 (+40.3%) and $59.64 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Goodwill & Intangibles since the quarter ended Mar 31, 2025.
- Compared with a year earlier, Goodwill & Intangibles was higher in three of the last eight quarters, with an average decline of 0.9%.
- The best year-over-year quarter for Goodwill & Intangibles over five years was the quarter ended Dec 31, 2021 (growth of 949.8%); the worst was the quarter ended Jun 30, 2024 (a decline of 10.6%).
- Per Business Quant data, MTLS's Goodwill & Intangibles in the three quarters before the quarter ended Jun 30, 2026 was $79.33 million (quarter ended Mar 31, 2026), $80.09 million (quarter ended Dec 31, 2025) and $81.6 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Materialise | 505.62 Mn | 505.52 Mn | 46.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.28 Mn |
| Mar 31, 2026 | 79.33 Mn |
| Dec 31, 2025 | 80.09 Mn |
| Sep 30, 2025 | 81.60 Mn |
| Jun 30, 2025 | 80.37 Mn |
| Mar 31, 2025 | 75.89 Mn |
| Dec 31, 2024 | 78.40 Mn |
| Sep 30, 2024 | 81.64 Mn |
| Jun 30, 2024 | 77.97 Mn |
| Mar 31, 2024 | 79.86 Mn |
| Dec 31, 2023 | 80.29 Mn |
| Sep 30, 2023 | 86.95 Mn |
| Jun 30, 2023 | 87.25 Mn |
| Mar 31, 2023 | 87.09 Mn |
| Dec 31, 2022 | 83.69 Mn |
| Sep 30, 2022 | 89.64 Mn |
| Jun 30, 2022 | 88.94 Mn |
| Mar 31, 2022 | 91.61 Mn |
| Dec 31, 2021 | 57.65 Mn |
| Sep 30, 2021 | 61.40 Mn |
Materialise Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();