Nice (NICE) Interest Expenses (2019 - 2021)
Nice (NICE) reported Interest Expenses of -$436,000 for the quarter ended Jun 30, 2022, compared with $12.46 million a year earlier.
Nice (NICE) Interest Expenses (2019 - 2021) Analysis & Trends
Over the twelve months ended Jun 30, 2022, Nice's Interest Expenses came in at $19.46 million, down 0.1% year-over-year; for the year ended Dec 31, 2021, it came in at $23.29 million, up 379.3% from the prior year.
- Interest Expenses has a four-year compound annual growth rate of 3.4% (years ended Dec 2017 to Dec 2021).
- By year, Interest Expenses came in at $4.86 million in the year ended Dec 31, 2020 (+9.3%), $4.44 million in the year ended Dec 31, 2019 (-59.2%), $10.9 million in the year ended Dec 31, 2018 (-46.6%) and $20.41 million in the year ended Dec 31, 2017.
- Five-year quarterly Interest Expenses spans a low of -$8.15 million in the quarter ended Dec 31, 2021 and a high of $16.71 million in the quarter ended Sep 30, 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 66.00 Mn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 14.15 Mn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | - |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | - |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | - |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | - |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | - |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 18.67 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 23.29 Mn |
| Sep 30, 2021 | 15.59 Mn |
| Mar 31, 2021 | 3.39 Mn |
| Dec 31, 2020 | 4.86 Mn |
| Sep 30, 2020 | 2.26 Mn |
| Mar 31, 2020 | 1.65 Mn |
| Dec 31, 2019 | 554,000.00 |
Nice Interest Expenses 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=interest-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();