Odysight.ai (ODYS) Interest Expenses (2016 - 2020)
Odysight.ai (ODYS) posted Interest Expenses of $96,000 for Q1 2020.
Analysis
Odysight.ai (ODYS) Interest Expenses (2016 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, Interest Expenses at Odysight.ai was $101,326; for FY2019, it was $20,000, up 275.5% from FY2018.
- Annual Interest Expenses shows a three-year compound annual growth rate of 324.7% (FY2016 to FY2019).
- In prior years, Odysight.ai's 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 Interest Expenses since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | -89.29 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 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=ODYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ODYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();