Materialise (MTLS) Capital Expenditures (2014 - 2026)
Materialise (MTLS) reported Capital Expenditures of -$1.79 million for the quarter ended Sep 30, 2026, compared with -$5.56 million a year earlier.
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Analysis
Materialise (MTLS) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Materialise's Capital Expenditures came in at $23.43 million, down 29.1% year-over-year; for the year ended Dec 31, 2025, it came in at $15.92 million, down 40.3% from the prior year.
- Capital Expenditures has a five-year compound annual growth rate of 4.8% (years ended Dec 2020 to Dec 2025).
- By year, Capital Expenditures came in at $26.68 million in the year ended Dec 31, 2024 (+167.1%), $9.99 million in the year ended Dec 31, 2023 (-56.1%), $22.77 million in the year ended Dec 31, 2022 (+142.6%) and $9.39 million in the year ended Dec 31, 2021 (-25.5%).
- Five-year quarterly Capital Expenditures spans a low of -$8.64 million in the quarter ended Sep 30, 2022 and a high of $44.83 million in the quarter ended Dec 31, 2024.
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at -$2.12 million (quarter ended Jun 30, 2026), -$1.13 million (quarter ended Mar 31, 2026) and $28.48 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 8.01 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 28.50 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | -192.12 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 171.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 52.70 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 91.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 27.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 462,000.00 |
| 10 | Materialise | 398.11 Mn | -238.44 Mn | 44.91 Mn | -1.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.79 Mn |
| Jun 30, 2026 | -2.12 Mn |
| Mar 31, 2026 | -1.13 Mn |
| Dec 31, 2025 | 28.48 Mn |
| Sep 30, 2025 | -5.56 Mn |
| Jun 30, 2025 | -4.77 Mn |
| Mar 31, 2025 | -1.47 Mn |
| Dec 31, 2024 | 44.83 Mn |
| Sep 30, 2024 | -7.50 Mn |
| Jun 30, 2024 | -8.56 Mn |
| Mar 31, 2024 | -2.74 Mn |
| Dec 31, 2023 | 17.32 Mn |
| Sep 30, 2023 | -2.75 Mn |
| Jun 30, 2023 | -1.96 Mn |
| Mar 31, 2023 | -2.72 Mn |
| Dec 31, 2022 | 38.44 Mn |
| Sep 30, 2022 | -8.64 Mn |
| Jun 30, 2022 | -5.46 Mn |
| Mar 31, 2022 | -2.67 Mn |
| Dec 31, 2021 | 14.60 Mn |
API Access
Materialise Capital Expenditures 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=capital-expenditures&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();