Materialise (MTLS) Cash & Equivalents (2012 - 2026)
Materialise's Cash & Equivalents came in at $155.45 million for the quarter ended Jun 30, 2026, up 17.3% from $132.51 million a year earlier but down 0.1% from the prior quarter.
Materialise (MTLS) Cash & Equivalents (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise's Cash & Equivalents was $151.3 million, up 36.6% from the prior year.
- Cash & Equivalents carries a five-year compound annual growth rate of 3.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Cash & Equivalents was $110.73 million in the year ended Dec 31, 2024 (-19.8%), $138 million in the year ended Dec 31, 2023 (-4.0%), $143.72 million in the year ended Dec 31, 2022 (-38.0%) and $231.98 million in the year ended Dec 31, 2021 (+82.2%).
- The five-year range for quarterly Cash & Equivalents is $109.32 million (the quarter ended Dec 31, 2024) to $229.9 million (the quarter ended Sep 30, 2021).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in the quarter ended Dec 31, 2021 (growth of 68.6%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 35.9%).
- Business Quant data shows MTLS's Cash & Equivalents at $155.65 million (quarter ended Mar 31, 2026), $155.89 million (quarter ended Dec 31, 2025) and $154.34 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) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 36.37 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 295.17 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Materialise | 505.62 Mn | 505.52 Mn | 46.23 Mn | 155.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.45 Mn |
| Mar 31, 2026 | 155.65 Mn |
| Dec 31, 2025 | 155.89 Mn |
| Sep 30, 2025 | 154.34 Mn |
| Jun 30, 2025 | 132.51 Mn |
| Mar 31, 2025 | 109.59 Mn |
| Dec 31, 2024 | 109.32 Mn |
| Sep 30, 2024 | 127.57 Mn |
| Jun 30, 2024 | 135.14 Mn |
| Mar 31, 2024 | 140.03 Mn |
| Dec 31, 2023 | 137.26 Mn |
| Sep 30, 2023 | 145.82 Mn |
| Jun 30, 2023 | 148.40 Mn |
| Mar 31, 2023 | 152.11 Mn |
| Dec 31, 2022 | 143.72 Mn |
| Sep 30, 2022 | 151.87 Mn |
| Jun 30, 2022 | 179.41 Mn |
| Mar 31, 2022 | 190.36 Mn |
| Dec 31, 2021 | 224.25 Mn |
| Sep 30, 2021 | 229.90 Mn |
Materialise Cash & Equivalents 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=cash-and-equivalents&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();