Eco Science Solutions (ESSI) Operating Expenses (2010 - 2026)
Eco Science Solutions (ESSI) reported Operating Expenses of $247,766 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.0% from $242,898 a year earlier and up 6.6% from the prior quarter.
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Analysis
Eco Science Solutions (ESSI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Eco Science Solutions' Operating Expenses came in at $941,407, down 7.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $958,352, down 6.5% from FY2025.
- Operating Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -4.7% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $1.03 million in FY2025 (-12.4%), $1.17 million in FY2024 (-32.4%) and $1.73 million in FY2023.
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Expenses since fiscal Q1 2026.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 4.7%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2026 (growth of 5.6%); the low point was fiscal Q3 2024 (a decline of 40.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $232,482 (Q1 2027), $235,481 (Q4 2026) and $225,678 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 479.59 Bn | 448.54 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 385.70 Bn | 257.83 Bn | - | 12.62 Bn |
| 3 | Sap Se | 269.41 Bn | 197.19 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 198.76 Bn | 154.64 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 157.88 Bn | 136.34 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 118.47 Bn | 100.59 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 91.99 Bn | 71.34 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 71.74 Bn | 70.84 Bn | - | - |
| 9 | Strategy | 54.54 Bn | 47.53 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Eco Science Solutions | 3.18 Mn | 3.12 Mn | - | 247,766.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 247,766.00 |
| Apr 30, 2026 | 232,482.00 |
| Jan 31, 2026 | 235,481.00 |
| Oct 31, 2025 | 225,678.00 |
| Jul 31, 2025 | 242,898.00 |
| Apr 30, 2025 | 254,295.00 |
| Jan 31, 2025 | 263,160.00 |
| Oct 31, 2024 | 255,992.00 |
| Jul 31, 2024 | 229,924.00 |
| Apr 30, 2024 | 276,063.00 |
| Jan 31, 2024 | 260,992.00 |
| Oct 31, 2023 | 276,212.00 |
| Jul 31, 2023 | 341,825.00 |
| Apr 30, 2023 | 290,994.00 |
| Jan 31, 2023 | 435,960.00 |
| Oct 31, 2022 | 462,093.00 |
| Jan 31, 2021 | 562,521.00 |
| Oct 31, 2020 | 316,118.00 |
| Jul 31, 2020 | 211,992.00 |
| Apr 30, 2020 | 130,371.00 |
API Access
Eco Science Solutions Operating Expenses 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=operating-expenses&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();