Materialise (MTLS) Cash & Equivalents (2012 - 2026)
Materialise's Cash & Equivalents came in at $174.11 million for the quarter ended Sep 30, 2026, up 12.4% from $154.88 million a year earlier and up 14.0% from the prior quarter.
Materialise (MTLS) Cash & Equivalents (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise's Cash & Equivalents was $157.32 million, up 47.8% from the prior year.
- Cash & Equivalents carries a five-year compound annual growth rate of 2.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Cash & Equivalents was $106.46 million in the year ended Dec 31, 2024 (-24.6%), $141.2 million in the year ended Dec 31, 2023 (-6.0%), $150.17 million in the year ended Dec 31, 2022 (-32.4%) and $222 million in the year ended Dec 31, 2021 (+61.8%).
- The figure for the quarter ended Sep 30, 2026 represents the highest quarterly Cash & Equivalents since the quarter ended Jun 30, 2022.
- Year-over-year, Cash & Equivalents has increased for six consecutive quarters, with growth averaging 10.6% 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 61.8%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 34.5%).
- Business Quant data shows MTLS's Cash & Equivalents at $152.75 million (quarter ended Jun 30, 2026), $152.36 million (quarter ended Mar 31, 2026) and $157.32 million (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 401.78 Bn | 366.60 Bn | 1.93 Bn | 3.62 Bn |
| 2 | Oracle | 350.69 Bn | 222.82 Bn | - | 36.37 Bn |
| 3 | Sap Se | 277.47 Bn | 204.87 Bn | 8.64 Bn | 10.62 Bn |
| 4 | Salesforce | 175.91 Bn | 131.78 Bn | 8.70 Bn | 8.31 Bn |
| 5 | Automatic Data Processing | 120.96 Bn | 107.76 Bn | 2.53 Bn | 3.28 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 2.39 Bn |
| 7 | Intuit | 92.70 Bn | 72.05 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 73.34 Bn | 72.43 Bn | - | 291.59 Mn |
| 9 | Strategy | 50.65 Bn | 37.78 Bn | 89.63 Mn | 2.50 Bn |
| 10 | Materialise | 399.29 Mn | -237.25 Mn | 44.91 Mn | 174.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 174.11 Mn |
| Jun 30, 2026 | 152.75 Mn |
| Mar 31, 2026 | 152.36 Mn |
| Dec 31, 2025 | 157.32 Mn |
| Sep 30, 2025 | 154.88 Mn |
| Jun 30, 2025 | 136.87 Mn |
| Mar 31, 2025 | 112.76 Mn |
| Dec 31, 2024 | 106.46 Mn |
| Sep 30, 2024 | 129.75 Mn |
| Jun 30, 2024 | 134.38 Mn |
| Mar 31, 2024 | 139.14 Mn |
| Dec 31, 2023 | 141.20 Mn |
| Sep 30, 2023 | 141.49 Mn |
| Jun 30, 2023 | 148.11 Mn |
| Mar 31, 2023 | 154.54 Mn |
| Dec 31, 2022 | 150.17 Mn |
| Sep 30, 2022 | 148.05 Mn |
| Jun 30, 2022 | 175.64 Mn |
| Mar 31, 2022 | 189.32 Mn |
| Dec 31, 2021 | 222.00 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();