Materialise (MTLS) Capital Expenditures (2014 - 2026)
Materialise (MTLS) reported Capital Expenditures of -$2.12 million for the quarter ended Jun 30, 2026, compared with -$4.77 million a year earlier.
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Analysis
Materialise (MTLS) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Materialise's Capital Expenditures came in at -$13.14 million; for the year ended Dec 31, 2025, it came in at -$15.92 million.
- By year, Capital Expenditures came in at -$26.68 million in the year ended Dec 31, 2024, -$9.99 million in the year ended Dec 31, 2023, -$22.05 million in the year ended Dec 31, 2022 and -$9.39 million in the year ended Dec 31, 2021.
- Five-year quarterly Capital Expenditures spans a low of -$8.64 million in the quarter ended Sep 30, 2022 and a high of -$1.13 million in the quarter ended Mar 31, 2026.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$1.13 million (quarter ended Mar 31, 2026), -$4.33 million (quarter ended Dec 31, 2025) and -$5.56 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | 14.55 Mn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | 28.50 Bn |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | -134.83 Mn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 171.00 Mn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | 114.00 Mn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | 72.80 Mn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | 27.00 Mn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | 177.00 Mn |
| 10 | Materialise | 478.74 Mn | -138.58 Mn | 46.23 Mn | -2.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -2.80 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();