Eco Science Solutions (ESSI) Operating Margin (2011 - 2026)
Eco Science Solutions (ESSI) reported Operating Margin of -12592.93% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 79197.19 percentage points from the prior quarter.
Eco Science Solutions (ESSI) Operating Margin (2011 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Eco Science Solutions' Operating Margin came in at -42594.20%; for FY2021 (ended Jan 31, 2021), it came in at -2314.08%, up 183.59 percentage points from FY2020.
- By fiscal year, Operating Margin came in at -2497.67% in FY2020.
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Margin since fiscal Q3 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 476.47 Bn | 445.42 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 385.98 Bn | 258.11 Bn | - | 34.78% |
| 3 | Sap Se | 272.32 Bn | 200.10 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 198.93 Bn | 154.80 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 157.96 Bn | 136.42 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 118.78 Bn | 100.91 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 92.44 Bn | 71.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.33 Bn | 72.42 Bn | - | - |
| 9 | Strategy | 54.12 Bn | 47.11 Bn | 81.55 Mn | -6,808.11% |
| 10 | Eco Science Solutions | 3.18 Mn | 3.12 Mn | - | -12,592.93% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -12,592.93% |
| Apr 30, 2026 | -91,790.12% |
| Oct 31, 2020 | -1,948.86% |
| Jul 31, 2020 | -1,116.46% |
| Apr 30, 2020 | -544.57% |
| Jan 31, 2020 | -921.88% |
| Oct 31, 2019 | -1,843.56% |
| Jul 31, 2019 | -12,120.57% |
| Apr 30, 2019 | -15,138.90% |
| Jan 31, 2019 | -29,049.47% |
| Oct 31, 2018 | -15,368.93% |
| Jul 31, 2018 | -36,993.97% |
| Apr 30, 2018 | -58,861.00% |
| Jan 31, 2018 | -22,864.20% |
| Oct 31, 2017 | -77,008.00% |
| Oct 31, 2011 | -883.40% |
| Jul 31, 2011 | -19,155.56% |
Eco Science Solutions Operating 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=operating-margin&ticker=ESSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();