ZW Data Action Technologies (CNET) Non Operating Interest Expenses (2013 - 2020)
ZW Data Action Technologies (CNET) reported Non Operating Interest Expenses of $1,000 for Q1 2020, down 90.9% from $11,000 a year earlier and down 50.0% from the prior quarter.
ZW Data Action Technologies (CNET) Non Operating Interest Expenses (2013 - 2020) Analysis & Trends
For FY2019, ZW Data Action Technologies posted Non Operating Interest Expenses of $35,000, down 5.4% from FY2018.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -7.6% (FY2014 to FY2019).
- By year, Non Operating Interest Expenses came in at $37,000 in FY2018 (-65.4%), $107,000 in FY2017 (+723.1%), $13,000 in FY2016 (-72.3%) and $47,000 in FY2015 (-9.6%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $1,000 in Q4 2015 and a high of $37,000 in Q4 2017.
- Year over year, Non Operating Interest Expenses gained in three of the last eight quarters, with an average decline of 33.3%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2016 (growth of 800.0%); the low point was Q4 2015 (a decline of 92.9%).
- Per Business Quant data, the three quarters before Q1 2020 came in at $2,000 (Q4 2019), $10,000 (Q3 2019) and $12,000 (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | ZW Data Action Technologies | 6.38 Mn | 2.38 Mn | 47,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 1,000.00 |
| Dec 31, 2019 | 2,000.00 |
| Sep 30, 2019 | 10,000.00 |
| Jun 30, 2019 | 12,000.00 |
| Mar 31, 2019 | 11,000.00 |
| Dec 31, 2018 | 12,000.00 |
| Sep 30, 2018 | 6,000.00 |
| Jun 30, 2018 | 9,000.00 |
| Mar 31, 2018 | 10,000.00 |
| Dec 31, 2017 | 37,000.00 |
| Sep 30, 2017 | 34,000.00 |
| Jun 30, 2017 | 19,000.00 |
| Mar 31, 2017 | 17,000.00 |
| Dec 31, 2016 | 9,000.00 |
| Sep 30, 2016 | 4,000.00 |
| Dec 31, 2015 | 1,000.00 |
| Sep 30, 2015 | 12,000.00 |
| Jun 30, 2015 | 17,000.00 |
| Mar 31, 2015 | 17,000.00 |
| Dec 31, 2014 | 14,000.00 |
ZW Data Action Technologies Non Operating 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=non-operating-interest-expenses&ticker=CNET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CNET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=CNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();