Materialise (MTLS) Prepaid Assets (2012 - 2026)
Materialise's Prepaid Assets came in at $16.82 million for the quarter ended Jun 30, 2026, down 8.3% from $18.33 million a year earlier and down 3.7% from the prior quarter.
Materialise (MTLS) Prepaid Assets (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise's Prepaid Assets was $17.55 million, down 10.7% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of 13.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Prepaid Assets was $19.66 million in the year ended Dec 31, 2024 (+98.4%), $9.91 million in the year ended Dec 31, 2023 (+15.3%), $8.59 million in the year ended Dec 31, 2022 (-18.8%) and $10.58 million in the year ended Dec 31, 2021 (+11.8%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Prepaid Assets since the quarter ended Sep 30, 2024.
- Year-over-year, Prepaid Assets increased in six of the last eight quarters, with growth averaging 45.3%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Jun 30, 2025 (growth of 99.2%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 26.7%).
- Business Quant data shows MTLS's Prepaid Assets at $17.47 million (quarter ended Mar 31, 2026), $18.08 million (quarter ended Dec 31, 2025) and $20.54 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn |
| 10 | Materialise | 516.84 Mn | 516.74 Mn | 46.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.82 Mn |
| Mar 31, 2026 | 17.47 Mn |
| Dec 31, 2025 | 18.08 Mn |
| Sep 30, 2025 | 20.54 Mn |
| Jun 30, 2025 | 18.33 Mn |
| Mar 31, 2025 | 17.28 Mn |
| Dec 31, 2024 | 19.41 Mn |
| Sep 30, 2024 | 12.97 Mn |
| Jun 30, 2024 | 9.20 Mn |
| Mar 31, 2024 | 9.87 Mn |
| Dec 31, 2023 | 9.86 Mn |
| Sep 30, 2023 | 8.83 Mn |
| Jun 30, 2023 | 9.73 Mn |
| Mar 31, 2023 | 8.71 Mn |
| Dec 31, 2022 | 8.59 Mn |
| Sep 30, 2022 | 8.44 Mn |
| Jun 30, 2022 | 7.96 Mn |
| Mar 31, 2022 | 9.17 Mn |
| Dec 31, 2021 | 10.23 Mn |
| Sep 30, 2021 | 11.52 Mn |
Materialise Prepaid 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=prepaid-assets&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();