Eco Science Solutions (ESSI) EBITDA Margin (2011 - 2026)
Eco Science Solutions' EBITDA Margin was -12166.03% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 77428.04 percentage points from the prior quarter.
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Analysis
Eco Science Solutions (ESSI) EBITDA Margin (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Eco Science Solutions' EBITDA Margin was -43598.50% through Jul 31, 2026; for FY2021 (ended Jan 31, 2021), it was -2279.49%, up 210.78 percentage points from FY2020.
- In earlier fiscal years, EBITDA Margin was -2490.27% in FY2020.
- The fiscal Q2 2027 figure marks the highest quarterly EBITDA Margin since fiscal Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.48 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 379.54 Bn | 252.10 Bn | - | 52.36% |
| 3 | Sap Se | 295.84 Bn | 224.19 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 205.95 Bn | 161.82 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 162.33 Bn | 140.79 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 122.50 Bn | 104.63 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 95.25 Bn | 74.60 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 73.89 Bn | 73.01 Bn | - | - |
| 9 | Thomson Reuters | 54.85 Bn | 51.63 Bn | - | 19.65% |
| 10 | Eco Science Solutions | 3.71 Mn | 3.65 Mn | - | -12,166.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -12,166.03% |
| Apr 30, 2026 | -89,594.07% |
| Oct 31, 2020 | -1,947.61% |
| Jul 31, 2020 | -1,113.92% |
| Apr 30, 2020 | -539.11% |
| Jan 31, 2020 | -919.49% |
| Oct 31, 2019 | -1,835.30% |
| Jul 31, 2019 | -12,083.73% |
| Apr 30, 2019 | -15,102.03% |
| Jan 31, 2019 | -16,932.53% |
| Oct 31, 2018 | -11,117.40% |
| Jul 31, 2018 | -32,787.63% |
| Apr 30, 2018 | -54,790.47% |
| Jan 31, 2018 | -22,821.07% |
| Oct 31, 2017 | -76,908.46% |
| Oct 31, 2011 | -840.11% |
| Jul 31, 2011 | -18,433.33% |
API Access
Eco Science Solutions EBITDA 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=ebitda-margin&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();