Egain (EGAN) Net Long-Term Debt Issued (Repaid) (2010 - 2019)
Egain's Non-Current Debt was $8,000 in FY2015 (year ended Jun 30, 2015), up 33.3% from $6,000 in FY2014.
Analysis
Egain (EGAN) Net Long-Term Debt Issued (Repaid) (2010 - 2019) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier fiscal years was $6,000 in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | -4.20 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | -176.00 Mn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 1.65 Bn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | -1.00 Mn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 1.74 Bn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | -449,000.00 |
| 10 | Egain | 166.48 Mn | -141.28 Mn | 15.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -9,000.00 |
| Mar 31, 2019 | -5.08 Mn |
| Dec 31, 2018 | -1.16 Mn |
| Sep 30, 2018 | -3.24 Mn |
| Jun 30, 2018 | 1.97 Mn |
| Mar 31, 2018 | -134,000.00 |
| Dec 31, 2017 | -2.60 Mn |
| Sep 30, 2017 | -5.96 Mn |
| Jun 30, 2017 | -3.61 Mn |
| Mar 31, 2017 | -1.79 Mn |
| Dec 31, 2016 | 4.27 Mn |
| Sep 30, 2016 | -4.72 Mn |
| Jun 30, 2016 | 2.51 Mn |
| Mar 31, 2016 | -4.90 Mn |
| Dec 31, 2015 | 669,000.00 |
| Sep 30, 2015 | 3.56 Mn |
| Jun 30, 2015 | 2.30 Mn |
| Mar 31, 2015 | -189,000.00 |
| Dec 31, 2014 | 5.24 Mn |
| Sep 30, 2014 | 6.47 Mn |
API Access
Egain Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=EGAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=EGAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();