Eco Science Solutions (ESSI) Accounts Payables (2011 - 2026)
Eco Science Solutions (ESSI) posted Accounts Payables of $1.02 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 78.1% from $4.63 million a year earlier but up 7.7% from the prior quarter.
Eco Science Solutions (ESSI) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Eco Science Solutions' Accounts Payables came in at $889,788, down 79.8% from FY2025.
- Annual Accounts Payables shows a five-year compound annual growth rate of -22.5% (FY2021 to FY2026).
- In prior fiscal years, Eco Science Solutions' Accounts Payables was $4.41 million in FY2025 (+5.1%), $4.2 million in FY2024 (+14.9%) and $3.65 million in FY2023.
- Quarterly Accounts Payables has run from a low of $889,788 in fiscal Q4 2026 to a high of $4.7 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Accounts Payables has declined in each of the last three quarters, with an average decline of 26.1% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was fiscal Q4 2024, with growth of 14.9%; the weakest was fiscal Q4 2026, with a decline of 79.8%.
- According to Business Quant data, Accounts Payables for the three prior fiscal quarters was $942,855 (Q1 2027), $889,788 (Q4 2026) and $4.7 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 11.06 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 3.14 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 162.50 Mn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | 5.31 Bn |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 170.00 Mn |
| 10 | Eco Science Solutions | 3.34 Mn | 3.28 Mn | - | 1.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.02 Mn |
| Apr 30, 2026 | 942,855.00 |
| Jan 31, 2026 | 889,788.00 |
| Oct 31, 2025 | 4.70 Mn |
| Jul 31, 2025 | 4.63 Mn |
| Apr 30, 2025 | 4.54 Mn |
| Jan 31, 2025 | 4.41 Mn |
| Oct 31, 2024 | 4.56 Mn |
| Jul 31, 2024 | 4.44 Mn |
| Apr 30, 2024 | 4.33 Mn |
| Jan 31, 2024 | 4.20 Mn |
| Oct 31, 2023 | 4.11 Mn |
| Jan 31, 2023 | 3.65 Mn |
| Jan 31, 2021 | 3.18 Mn |
| Oct 31, 2020 | 3.61 Mn |
| Jul 31, 2020 | 2.94 Mn |
| Apr 30, 2020 | 2.86 Mn |
| Jan 31, 2020 | 2.87 Mn |
| Oct 31, 2019 | 2.65 Mn |
| Jul 31, 2019 | 2.53 Mn |
Eco Science Solutions Accounts Payables 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=accounts-payables&ticker=ESSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();