Materialise (MTLS) Short-term Investments (2012 - 2022)
Materialise's Short-term Investments came in at $3,321 for the quarter ended Dec 31, 2019.
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Analysis
Materialise (MTLS) Short-term Investments (2012 - 2022) Analysis & Trends
As of Dec 31, 2019, Materialise's Short-term Investments was $3,360.
- Short-term Investments carries a five-year compound annual growth rate of -62.2% (years ended Dec 2014 to Dec 2019).
- Going back by year, Short-term Investments was $429,538 in the year ended Dec 31, 2016 (+8.6%) and $395,441 in the year ended Dec 31, 2015 (-9.3%).
- The figure for the quarter ended Dec 31, 2019 represents the highest quarterly Short-term Investments in data going back to the quarter ended Dec 31, 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - |
| 10 | Materialise | 478.74 Mn | -138.58 Mn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 68,228.82 |
| Dec 31, 2019 | 3,360.69 |
| Dec 31, 2016 | 410,321.52 |
| Sep 30, 2016 | 461,124.21 |
| Jun 30, 2016 | 377,240.90 |
| Mar 31, 2016 | 366,109.37 |
| Dec 31, 2015 | 389,249.72 |
| Sep 30, 2015 | 357,938.82 |
| Jun 30, 2015 | 405,149.11 |
| Mar 31, 2015 | 3.25 Mn |
| Dec 31, 2014 | 398,915.16 |
| Sep 30, 2014 | 411,183.17 |
| Jun 30, 2014 | 418,883.87 |
| Dec 31, 2013 | 349,394.43 |
| Dec 31, 2012 | 277,781.45 |
API Access
Materialise Short-term Investments 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=short-term-investments&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();