Nice (NICE) Long-Term Investments (2009 - 2020)
Nice's Long-Term Investments was $553.73 million in the quarter ended Mar 31, 2020, up 73.0% from $319.99 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Nice (NICE) Long-Term Investments (2009 - 2020) Analysis & Trends
As of Dec 31, 2019, Long-Term Investments at Nice came in at $542.39 million, up 121.4% from the prior year.
- Long-Term Investments has now increased for three consecutive years, with a five-year compound annual growth rate of 17.1% (years ended Dec 2014 to Dec 2019).
- In earlier years, Long-Term Investments was $245 million in the year ended Dec 31, 2018 (+84.5%), $132.82 million in the year ended Dec 31, 2017 (+34.5%), $98.73 million in the year ended Dec 31, 2016 (-75.5%) and $403.25 million in the year ended Dec 31, 2015 (+63.4%).
- The figure for the quarter ended Mar 31, 2020 marks the highest quarterly Long-Term Investments in data going back to the quarter ended Dec 31, 2009.
- Compared with a year earlier, Long-Term Investments has increased for nine straight quarters, with growth averaging 98.5% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was the quarter ended Sep 30, 2019 (growth of 131.9%); the worst was the quarter ended Mar 31, 2017 (a decline of 80.8%).
- Per Business Quant data, NICE's Long-Term Investments in the three quarters before the quarter ended Mar 31, 2020 was $542.39 million (quarter ended Dec 31, 2019), $480.67 million (quarter ended Sep 30, 2019) and $358.15 million (quarter ended Jun 30, 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | - |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 213.15 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 250.53 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 202.00 Mn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 3.79 Bn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | - |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | - |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 553.73 Mn |
| Dec 31, 2019 | 542.39 Mn |
| Sep 30, 2019 | 480.67 Mn |
| Jun 30, 2019 | 358.15 Mn |
| Mar 31, 2019 | 319.99 Mn |
| Dec 31, 2018 | 245.00 Mn |
| Sep 30, 2018 | 207.23 Mn |
| Jun 30, 2018 | 177.94 Mn |
| Mar 31, 2018 | 178.15 Mn |
| Dec 31, 2017 | 132.82 Mn |
| Sep 30, 2017 | 119.47 Mn |
| Jun 30, 2017 | 79.74 Mn |
| Mar 31, 2017 | 79.57 Mn |
| Dec 31, 2016 | -1.50 Mn |
| Sep 30, 2016 | 110.28 Mn |
| Jun 30, 2016 | 386.12 Mn |
| Mar 31, 2016 | 414.71 Mn |
| Dec 31, 2015 | -1.50 Mn |
| Sep 30, 2015 | 376.79 Mn |
| Jun 30, 2015 | 322.15 Mn |
API Access
Nice 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=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "NICE", "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=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();