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 | 467.41 Bn | 436.36 Bn | 1.64 Bn | 11.68 Bn |
| 2 | Oracle | 391.90 Bn | 264.03 Bn | - | 303.26 Bn |
| 3 | Sap Se | 265.25 Bn | 193.03 Bn | 8.40 Bn | 86.36 Bn |
| 4 | Salesforce | 198.84 Bn | 154.71 Bn | 8.70 Bn | 109.62 Bn |
| 5 | ServiceNow | 154.03 Bn | 132.49 Bn | 2.82 Bn | 31.67 Bn |
| 6 | Automatic Data Processing | 117.29 Bn | 99.42 Bn | 2.51 Bn | 63.19 Bn |
| 7 | Intuit | 92.88 Bn | 72.23 Bn | 3.44 Bn | 36.79 Bn |
| 8 | Relx | 72.02 Bn | 71.11 Bn | - | 19.92 Bn |
| 9 | Strategy | 50.99 Bn | 43.98 Bn | 81.55 Mn | 52.56 Bn |
| 10 | Materialise | 482.58 Mn | -134.74 Mn | 46.23 Mn | 477.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 477.06 Mn |
| Mar 31, 2026 | 479.63 Mn |
| Dec 31, 2025 | 494.15 Mn |
| Sep 30, 2025 | 487.46 Mn |
| Jun 30, 2025 | 474.24 Mn |
| Mar 31, 2025 | 422.62 Mn |
| Dec 31, 2024 | 412.43 Mn |
| Sep 30, 2024 | 440.83 Mn |
| Jun 30, 2024 | 425.81 Mn |
| Mar 31, 2024 | 425.56 Mn |
| Dec 31, 2023 | 439.00 Mn |
| Sep 30, 2023 | 416.15 Mn |
| Jun 30, 2023 | 435.00 Mn |
| Mar 31, 2023 | 444.73 Mn |
| Dec 31, 2022 | 438.44 Mn |
| Sep 30, 2022 | 408.52 Mn |
| Jun 30, 2022 | 438.55 Mn |
| Mar 31, 2022 | 462.23 Mn |
| Dec 31, 2021 | 468.19 Mn |
| Sep 30, 2021 | 481.32 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();