Eco Science Solutions (ESSI) Net Margin (2011 - 2026)
Eco Science Solutions (ESSI) recorded Net Margin of -13130.84% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 82828.45 percentage points from the prior quarter.
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Analysis
Eco Science Solutions (ESSI) Net Margin (2011 - 2026) Analysis & Trends
On a TTM basis, Eco Science Solutions' Net Margin came in at 429904.40% as of Jul 31, 2026; for FY2021 (ended Jan 31, 2021), it came in at -201.63%, up 2923.53 percentage points from FY2020.
- Across earlier fiscal years, Net Margin came in at -3125.17% in FY2020.
- The fiscal Q2 2027 figure is the highest quarterly Net Margin since fiscal Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 54.86% |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 24.19% |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 22.07% |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 22.88% |
| 10 | Eco Science Solutions | 3.34 Mn | 3.28 Mn | - | -13,130.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -13,130.84% |
| Apr 30, 2026 | -95,959.29% |
| Oct 31, 2020 | -5,651.14% |
| Jul 31, 2020 | -1,486.00% |
| Apr 30, 2020 | -855.07% |
| Jan 31, 2020 | -1,072.20% |
| Oct 31, 2019 | -3,247.76% |
| Jul 31, 2019 | -14,114.43% |
| Apr 30, 2019 | -17,048.50% |
| Jan 31, 2019 | -30,647.67% |
| Oct 31, 2018 | -21,542.90% |
| Jul 31, 2018 | -43,059.53% |
| Apr 30, 2018 | -64,180.00% |
| Jan 31, 2018 | -28,031.80% |
| Oct 31, 2017 | -78,741.00% |
| Oct 31, 2011 | -510.89% |
| Jul 31, 2011 | -18,982.22% |
API Access
Eco Science Solutions Net Margin 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=net-margin&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();