Egain (EGAN) Total Debt (2011 - 2019)
Egain's Total Debt came in at $7,000 for fiscal Q3 2019 (quarter ended Mar 31, 2019), down 99.9% from $7.15 million a year earlier and down 99.9% from the prior quarter.
Egain (EGAN) Total Debt (2011 - 2019) Analysis & Trends
At the end of FY2018 (ended Jun 30, 2018), Egain's Total Debt was $9.2 million, down 41.1% from FY2017.
- Total Debt carries a five-year compound annual growth rate of 4.0% (FY2013 to FY2018).
- Going back by fiscal year, Total Debt was $15.61 million in FY2017 (-25.9%), $21.05 million in FY2016 (+12.2%), $18.76 million in FY2015 (+275.3%) and $5 million in FY2014 (-33.9%).
- The fiscal Q3 2019 figure represents the lowest quarterly Total Debt in data going back to fiscal Q4 2011.
- Year-over-year, Total Debt has declined for eight consecutive quarters, with an average decline of 51.0% over the last eight quarters.
- The fastest year-over-year change in Total Debt over five years came in fiscal Q3 2015 (growth of 532.7%), and the weakest in fiscal Q3 2019 (a decline of 99.9%).
- Business Quant data shows EGAN's Total Debt at $5 million (Q2 2019), $6.07 million (Q1 2019) and $9.2 million (Q4 2018) in the three fiscal quarters before Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 125.34 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | 7.07 Bn |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 39.29 Bn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 4.97 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 7.52 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 7.67 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | 9.79 Bn |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 6.72 Bn |
| 10 | Egain | 166.48 Mn | -141.28 Mn | 15.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 7,000.00 |
| Dec 31, 2018 | 5.00 Mn |
| Sep 30, 2018 | 6.07 Mn |
| Jun 30, 2018 | 9.20 Mn |
| Mar 31, 2018 | 7.15 Mn |
| Dec 31, 2017 | 7.19 Mn |
| Sep 30, 2017 | 9.75 Mn |
| Jun 30, 2017 | 15.61 Mn |
| Mar 31, 2017 | 19.18 Mn |
| Dec 31, 2016 | 21.70 Mn |
| Sep 30, 2016 | 17.29 Mn |
| Jun 30, 2016 | 21.05 Mn |
| Mar 31, 2016 | 18.42 Mn |
| Dec 31, 2015 | 23.16 Mn |
| Sep 30, 2015 | 22.33 Mn |
| Jun 30, 2015 | 18.76 Mn |
| Mar 31, 2015 | 16.87 Mn |
| Dec 31, 2014 | 17.00 Mn |
| Sep 30, 2014 | 11.70 Mn |
| Jun 30, 2014 | 5.00 Mn |
Egain Total Debt 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=total-debt&ticker=EGAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "EGAN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-debt&ticker=EGAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();