Materialise (MTLS) Goodwill (2012 - 2026)
Materialise (MTLS) posted Goodwill of $50.22 million for the quarter ended Jun 30, 2026, up 2.6% from $48.96 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Materialise (MTLS) Goodwill (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise's Goodwill came in at $48.76 million, up 3.8% from the prior year.
- Annual Goodwill has increased for five consecutive years, with a five-year compound annual growth rate of 18.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Materialise's Goodwill was $46.96 million in the year ended Dec 31, 2024 (+0.6%), $46.68 million in the year ended Dec 31, 2023 (+3.6%), $45.05 million in the year ended Dec 31, 2022 (+103.3%) and $22.16 million in the year ended Dec 31, 2021 (+4.4%).
- Quarterly Goodwill has run from a low of $21.42 million in the quarter ended Dec 31, 2021 to a high of $50.61 million in the quarter ended Sep 30, 2022 over five years.
- On a year-over-year basis, Goodwill has increased in each of the last five quarters, with growth averaging 3.6% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill in the past five years was the quarter ended Dec 31, 2022, with growth of 110.3%; the weakest was the quarter ended Sep 30, 2023, with a decline of 4.7%.
- According to Business Quant data, Goodwill for the three prior quarters was $50.54 million (quarter ended Mar 31, 2026), $50.24 million (quarter ended Dec 31, 2025) and $50.44 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.22 Mn |
| Mar 31, 2026 | 50.54 Mn |
| Dec 31, 2025 | 50.24 Mn |
| Sep 30, 2025 | 50.44 Mn |
| Jun 30, 2025 | 48.96 Mn |
| Mar 31, 2025 | 45.62 Mn |
| Dec 31, 2024 | 46.37 Mn |
| Sep 30, 2024 | 47.61 Mn |
| Jun 30, 2024 | 46.61 Mn |
| Mar 31, 2024 | 46.97 Mn |
| Dec 31, 2023 | 46.44 Mn |
| Sep 30, 2023 | 48.20 Mn |
| Jun 30, 2023 | 48.29 Mn |
| Mar 31, 2023 | 47.44 Mn |
| Dec 31, 2022 | 45.05 Mn |
| Sep 30, 2022 | 50.61 Mn |
| Jun 30, 2022 | 48.21 Mn |
| Mar 31, 2022 | 48.88 Mn |
| Dec 31, 2021 | 21.42 Mn |
| Sep 30, 2021 | 24.21 Mn |
API Access
Materialise Goodwill 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&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();