Mind Cti (MNDO) Long-Term Investments (2009 - 2019)
Mind Cti (MNDO) reported Long-Term Investments of $129,000 for Q4 2019, up 22.9% from $105,000 a year earlier.
Analysis
Mind Cti (MNDO) Long-Term Investments (2009 - 2019) Analysis & Trends
Dating back to Q1 2009, Mind Cti's Long-Term Investments record includes 12 quarters.
- Long-Term Investments has a five-year compound annual growth rate of -39.4% (FY2014 to FY2019).
- By year, Long-Term Investments came in at $105,000 in FY2018 (-80.7%), $544,000 in FY2017 (-34.6%), $832,000 in FY2016 (-42.3%) and $1.44 million in FY2015 (-8.4%).
- The Q4 2019 figure ranks as the highest quarterly Long-Term Investments since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | - |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | - |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 11.32 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 2.07 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 248.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | 213.33 Mn |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | - |
| 10 | Mind Cti | 20.37 Mn | -10.69 Mn | 2.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 129,000.00 |
| Dec 31, 2018 | 105,000.00 |
| Dec 31, 2017 | 544,000.00 |
| Dec 31, 2016 | 832,000.00 |
| Dec 31, 2015 | 1.44 Mn |
| Dec 31, 2014 | 1.57 Mn |
| Dec 31, 2013 | 517,000.00 |
| Dec 31, 2012 | 504,000.00 |
| Dec 31, 2011 | 473,000.00 |
| Sep 30, 2009 | 42,000.00 |
| Jun 30, 2009 | 55,000.00 |
| Mar 31, 2009 | 941,000.00 |
API Access
Mind Cti Long-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=long-term-investments&ticker=MNDO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "MNDO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=MNDO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();