Eco Science Solutions (ESSI) Interest Expenses (2013 - 2026)
Eco Science Solutions (ESSI) posted Interest Expenses of $10,500 for 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.
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Analysis
Eco Science Solutions (ESSI) Interest Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Interest Expenses at Eco Science Solutions was $85,598, up 118.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $83,845, up 114.9% from FY2025.
- Annual Interest Expenses shows a five-year compound annual growth rate of -19.3% (FY2021 to FY2026).
- In prior fiscal years, Eco Science Solutions' Interest Expenses was $39,016 in FY2025 (+0.3%), $38,912 in FY2024 (unchanged) and $38,909 in FY2023.
- Quarterly Interest Expenses has run from a low of $6,209 in fiscal Q2 2024 to a high of $54,743 in fiscal Q4 2026 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last three quarters, with growth averaging 60.6% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q4 2026, with growth of 458.2%; the weakest was fiscal Q3 2026, with a decline of 2.3%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $10,548 (Q1 2027), $54,743 (Q4 2026) and $9,807 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn | - |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - | 1.43 Bn |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 74.61 Bn | 73.70 Bn | - | - |
| 9 | Thomson Reuters | 55.33 Bn | 52.12 Bn | - | -8.00 Mn |
| 10 | Eco Science Solutions | 3.61 Mn | 3.55 Mn | - | 10,500.00 |
Historic Data
Download Data
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 |
API Access
Eco Science Solutions 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=interest-expenses&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();