Eco Science Solutions (ESSI) Total Liabilities (2011 - 2026)
Eco Science Solutions (ESSI) recorded Total Liabilities of $1.67 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 90.3% from $17.2 million a year earlier but up 17.2% from the prior quarter.
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Analysis
Eco Science Solutions (ESSI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Eco Science Solutions reported Total Liabilities of $1.24 million, down 92.6% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of -35.4% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $16.67 million in FY2025 (+7.1%), $15.56 million in FY2024 (+9.3%) and $14.23 million in FY2023.
- Quarterly Total Liabilities has ranged from $1.24 million in fiscal Q4 2026 to $17.45 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 30.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 9.3% in fiscal Q4 2024, against a decline of 92.6% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.43 million (Q1 2027), $1.24 million (Q4 2026) and $17.45 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.03 Bn | 448.98 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 385.58 Bn | 257.71 Bn | - | 236.06 Bn |
| 3 | Sap Se | 270.10 Bn | 197.89 Bn | 8.40 Bn | 34.68 Bn |
| 4 | Salesforce | 198.17 Bn | 154.05 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 158.11 Bn | 136.57 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 118.61 Bn | 100.73 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 92.09 Bn | 71.44 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 72.64 Bn | 71.74 Bn | - | 18.26 Bn |
| 9 | Strategy | 54.39 Bn | 47.38 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Eco Science Solutions | 3.18 Mn | 3.12 Mn | - | 1.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.67 Mn |
| Apr 30, 2026 | 1.43 Mn |
| Jan 31, 2026 | 1.24 Mn |
| Oct 31, 2025 | 17.45 Mn |
| Jul 31, 2025 | 17.20 Mn |
| Apr 30, 2025 | 16.94 Mn |
| Jan 31, 2025 | 16.67 Mn |
| Oct 31, 2024 | 16.38 Mn |
| Jul 31, 2024 | 16.11 Mn |
| Apr 30, 2024 | 15.86 Mn |
| Jan 31, 2024 | 15.56 Mn |
| Oct 31, 2023 | 15.28 Mn |
| Jan 31, 2023 | 14.23 Mn |
| Jan 31, 2021 | 11.00 Mn |
| Oct 31, 2020 | 12.61 Mn |
| Jul 31, 2020 | 11.74 Mn |
| Apr 30, 2020 | 11.47 Mn |
| Jan 31, 2020 | 11.31 Mn |
| Oct 31, 2019 | 10.80 Mn |
| Jul 31, 2019 | 10.47 Mn |
API Access
Eco Science Solutions Total Liabilities 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=total-liabilities&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();