Materialise (MTLS) Acquisitions (2014 - 2024)
Materialise (MTLS) posted Acquisitions of -$2.89 million for the year ended Dec 31, 2024.
Analysis
Materialise (MTLS) Acquisitions (2014 - 2024) Analysis & Trends
Since the year ended Dec 31, 2013, Materialise has reported Acquisitions for 9 years.
- The figure for the year ended Dec 31, 2024 stands as the highest annual Acquisitions since the year ended Dec 31, 2021.
- Business Quant data shows MTLS's Acquisitions at -$29.89 million in the year ended Dec 31, 2022, $1.04 million in the year ended Dec 31, 2021 and -$9.17 million in the year ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -1.15 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 52.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 7.45 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | - |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | - |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -3.14 Mn |
| Dec 31, 2022 | 63,255.34 |
| Sep 30, 2022 | -3.78 Mn |
| Jun 30, 2022 | 1.92 Mn |
| Mar 31, 2022 | -30.77 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Dec 31, 2015 | -18,633.99 |
| Jun 30, 2015 | 215,502.55 |
| Mar 31, 2015 | -2.03 Mn |
| Mar 31, 2014 | -1.59 Mn |
API Access
Materialise Acquisitions 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=acquisitions&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();