Odysight.ai (ODYS) Non Operating Interest Expenses (2016 - 2020)
Odysight.ai (ODYS) posted Non Operating Interest Expenses of $96,000 for Q1 2020.
Analysis
Odysight.ai (ODYS) Non Operating Interest Expenses (2016 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, Non Operating Interest Expenses at Odysight.ai was $101,326; for FY2019, it was $20,000, up 275.5% from FY2018.
- Annual Non Operating Interest Expenses shows a three-year compound annual growth rate of 324.7% (FY2016 to FY2019).
- In prior years, Odysight.ai's Non Operating Interest Expenses was $5,326 in FY2018, $2,774 in FY2017 (+962.8%) and $261.00 in FY2016.
- The Q1 2020 figure stands as the lowest quarterly Non Operating Interest Expenses since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Odysight.ai | 49.73 Mn | -75.22 Mn | 177,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 96,000.00 |
| Dec 31, 2018 | 2,497.00 |
| Sep 30, 2018 | 1,550.00 |
| Jun 30, 2018 | 1,279.00 |
| Dec 31, 2017 | 1,180.00 |
| Sep 30, 2017 | 1,163.00 |
| Jun 30, 2017 | 842.00 |
| Mar 31, 2017 | 478.00 |
| Dec 31, 2016 | 1,019.00 |
| Sep 30, 2016 | 677.00 |
| Jun 30, 2016 | 599.00 |
API Access
Odysight.ai 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=ODYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ODYS", "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=ODYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();