Materialise (MTLS) Assets (2012 - 2026)
Materialise (MTLS) reported Assets of $485.48 million for the quarter ended Jun 30, 2026, up 6.1% from $457.75 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Materialise (MTLS) Assets (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise posted Assets of $475.25 million, up 10.8% from the prior year.
- Assets has a five-year compound annual growth rate of 5.0% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $428.97 million in the year ended Dec 31, 2024 (unchanged), $429.04 million in the year ended Dec 31, 2023 (+2.3%), $419.59 million in the year ended Dec 31, 2022 (-14.2%) and $489.23 million in the year ended Dec 31, 2021 (+31.5%).
- Five-year quarterly Assets spans a low of $410.71 million in the quarter ended Mar 31, 2025 and a high of $489.99 million in the quarter ended Mar 31, 2026.
- Year over year, Assets has now increased in each of the last five quarters, with growth averaging 7.0% over the last eight quarters.
- The high point for year-over-year Assets in five years was the quarter ended Sep 30, 2021 (growth of 30.6%); the low point was the quarter ended Sep 30, 2022 (a decline of 14.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $489.99 million (quarter ended Mar 31, 2026), $489.65 million (quarter ended Dec 31, 2025) and $485.76 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 11.68 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 303.26 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 87.89 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 109.62 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 31.67 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 63.19 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 36.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 20.17 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 52.56 Bn |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn | 485.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 485.48 Mn |
| Mar 31, 2026 | 489.99 Mn |
| Dec 31, 2025 | 489.65 Mn |
| Sep 30, 2025 | 485.76 Mn |
| Jun 30, 2025 | 457.75 Mn |
| Mar 31, 2025 | 410.71 Mn |
| Dec 31, 2024 | 423.52 Mn |
| Sep 30, 2024 | 433.42 Mn |
| Jun 30, 2024 | 428.21 Mn |
| Mar 31, 2024 | 428.29 Mn |
| Dec 31, 2023 | 426.75 Mn |
| Sep 30, 2023 | 428.89 Mn |
| Jun 30, 2023 | 435.85 Mn |
| Mar 31, 2023 | 437.74 Mn |
| Dec 31, 2022 | 419.59 Mn |
| Sep 30, 2022 | 419.04 Mn |
| Jun 30, 2022 | 447.95 Mn |
| Mar 31, 2022 | 464.78 Mn |
| Dec 31, 2021 | 472.93 Mn |
| Sep 30, 2021 | 489.25 Mn |
API Access
Materialise Assets 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=assets&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();