Eco Science Solutions (ESSI) Non Operating Interest Expenses (2013 - 2026)
Eco Science Solutions' Non Operating Interest Expenses was $10,500 in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.1% from $9,807 a year earlier but down 0.5% from the prior quarter.
Eco Science Solutions (ESSI) Non Operating Interest Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Eco Science Solutions' Non Operating Interest Expenses was $85,598 through Jul 31, 2026, up 118.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $83,845, up 114.9% from FY2025.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -19.3% (FY2021 to FY2026).
- In earlier fiscal years, Non Operating Interest Expenses was $39,016 in FY2025 (+0.3%), $38,912 in FY2024 (unchanged) and $38,909 in FY2023.
- Quarterly Non Operating Interest Expenses has moved between $6,209 (fiscal Q2 2024) and $54,743 (fiscal Q4 2026) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters, with growth averaging 60.6% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q4 2026 (growth of 458.2%); the worst was fiscal Q3 2026 (a decline of 2.3%).
- Per Business Quant data, ESSI's Non Operating Interest Expenses in the three fiscal quarters before Q2 2027 was $10,548 (Q1 2027), $54,743 (Q4 2026) and $9,807 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | - |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 1.43 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | -8.00 Mn |
| 10 | Eco Science Solutions | 3.34 Mn | 3.28 Mn | - | 10,500.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10,500.00 |
| Apr 30, 2026 | 10,548.00 |
| Jan 31, 2026 | 54,743.00 |
| Oct 31, 2025 | 9,807.00 |
| Jul 31, 2025 | 9,807.00 |
| Apr 30, 2025 | 9,488.00 |
| Jan 31, 2025 | 9,807.00 |
| Oct 31, 2024 | 10,039.00 |
| Jul 31, 2024 | 8,957.00 |
| Apr 30, 2024 | 9,594.00 |
| Jan 31, 2024 | 9,810.00 |
| Oct 31, 2023 | 9,806.00 |
| Jul 31, 2023 | 6,209.00 |
| Apr 30, 2023 | 9,489.00 |
| Jan 31, 2023 | 9,805.00 |
| Oct 31, 2022 | 9,808.00 |
| Jan 31, 2021 | 52,343.00 |
| Oct 31, 2020 | 64,723.00 |
| Jul 31, 2020 | 64,401.00 |
| Apr 30, 2020 | 62,802.00 |
Eco Science Solutions Non Operating Interest 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=non-operating-interest-expenses&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();