Eco Science Solutions (ESSI) Total Current Liabilities (2011 - 2026)
Eco Science Solutions' Total Current Liabilities came in at $1.67 million for 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.
Eco Science Solutions (ESSI) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Eco Science Solutions' Total Current Liabilities was $1.24 million, down 92.6% from FY2025.
- Total Current Liabilities carries a five-year compound annual growth rate of -35.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $16.67 million in FY2025 (+7.1%), $15.56 million in FY2024 (+12.1%) and $13.88 million in FY2023.
- The five-year range for quarterly Total Current Liabilities is $1.24 million (fiscal Q4 2026) to $17.45 million (fiscal Q3 2026).
- Year-over-year, Total Current Liabilities has declined for three consecutive quarters, with an average decline of 30.0% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q4 2024 (growth of 12.1%), and the weakest in fiscal Q4 2026 (a decline of 92.6%).
- Business Quant data shows ESSI's Total Current Liabilities at $1.43 million (Q1 2027), $1.24 million (Q4 2026) and $17.45 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 47.51 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 22.54 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | 8.70 Bn |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 4.45 Bn |
| 10 | Eco Science Solutions | 3.34 Mn | 3.28 Mn | - | 1.67 Mn |
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 | 13.88 Mn |
| Jan 31, 2021 | 10.65 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 |
Eco Science Solutions Total Current 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-current-liabilities&ticker=ESSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();