Eco Science Solutions (ESSI) Return on Assets [ROA] (2011 - 2026)
Eco Science Solutions (ESSI) recorded Return on Assets [ROA] of -935.28% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 82.41 percentage points from -1017.69% a year earlier but down 216.05 percentage points from the prior quarter.
Eco Science Solutions (ESSI) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Eco Science Solutions reported Return on Assets [ROA] of -749.52%, up 266.97 percentage points from FY2025.
- Annual Return on Assets [ROA] has increased for three straight fiscal years, with a five-year change of +2792.96 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at -1016.49% in FY2025 (+1056.58 pp), -2073.08% in FY2024 (+16146.63 pp) and -18219.71% in FY2023.
- Quarterly Return on Assets [ROA] has ranged from -1178.05% in fiscal Q4 2024 to -719.23% in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has increased for seven consecutive quarters, with an average year-over-year change of +141.64 percentage points over the last seven quarters.
- Per Business Quant, the preceding three fiscal quarters came in at -719.23% (Q1 2027), -771.86% (Q4 2026) and -1002.74% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.37 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 373.75 Bn | 245.88 Bn | - | 6.70% |
| 3 | Sap Se | 277.47 Bn | 205.25 Bn | 8.40 Bn | 11.08% |
| 4 | Salesforce | 203.26 Bn | 159.13 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 163.61 Bn | 142.07 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 122.45 Bn | 104.58 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 94.72 Bn | 74.07 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 74.34 Bn | 73.43 Bn | - | - |
| 9 | Thomson Reuters | 55.22 Bn | 52.00 Bn | - | - |
| 10 | Eco Science Solutions | 3.71 Mn | 3.65 Mn | - | -935.28% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -935.28% |
| Apr 30, 2026 | -719.23% |
| Jan 31, 2026 | -771.86% |
| Oct 31, 2025 | -1,002.74% |
| Jul 31, 2025 | -1,017.69% |
| Apr 30, 2025 | -991.73% |
| Jan 31, 2025 | -1,015.10% |
| Oct 31, 2024 | -1,025.31% |
| Jul 31, 2024 | -1,048.24% |
| Apr 30, 2024 | -1,169.01% |
| Jan 31, 2024 | -1,178.05% |
| Jan 31, 2021 | -4,347.41% |
| Oct 31, 2020 | -2,156.27% |
| Jul 31, 2020 | -2,152.79% |
| Apr 30, 2020 | -2,385.13% |
| Jan 31, 2020 | -3,112.71% |
| Oct 31, 2019 | -2,073.42% |
| Jul 31, 2019 | -1,514.36% |
| Apr 30, 2019 | -2,066.06% |
| Jan 31, 2019 | -1,415.47% |
Eco Science Solutions Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ESSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();