Eco Science Solutions (ESSI) Convertible Debt (2013 - 2023)
Eco Science Solutions' Convertible Debt came in at $1.41 million for fiscal Q3 2024 (quarter ended Oct 31, 2023).
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Analysis
Eco Science Solutions (ESSI) Convertible Debt (2013 - 2023) Analysis & Trends
Going back to fiscal Q4 2013, Eco Science Solutions' Convertible Debt data covers 24 quarters.
- Convertible Debt carries a five-year compound annual growth rate of 97.6% (FY2016 to FY2021).
- Going back by fiscal year, Convertible Debt was $1.41 million in FY2020, $102,533 in FY2019 (-92.7%) and $1.41 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - |
| 10 | Eco Science Solutions | 3.34 Mn | 3.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2023 | 1.41 Mn |
| Jan 31, 2021 | 1.41 Mn |
| Jan 31, 2020 | 1.41 Mn |
| Oct 31, 2019 | 102,533.00 |
| Jul 31, 2019 | 102,533.00 |
| Apr 30, 2019 | 102,533.00 |
| Jan 31, 2019 | 102,533.00 |
| Oct 31, 2018 | 102,533.00 |
| Jul 31, 2018 | 102,533.00 |
| Apr 30, 2018 | 102,533.00 |
| Jan 31, 2018 | 1.41 Mn |
| Oct 31, 2017 | 102,533.00 |
| Oct 31, 2016 | 52,245.00 |
| Jul 31, 2016 | 50,400.00 |
| Apr 30, 2016 | 48,555.00 |
| Jan 31, 2016 | 46,710.00 |
| Oct 31, 2015 | 236,350.00 |
| Jul 31, 2015 | 236,350.00 |
| Apr 30, 2015 | 236,350.00 |
| Jan 31, 2015 | 236,350.00 |
API Access
Eco Science Solutions Convertible 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=convertible-debt&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "ESSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();