Eco Science Solutions (ESSI) Research & Development (2016 - 2026)
Eco Science Solutions (ESSI) posted Research & Development of $78,705 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.7% from $80,053 a year earlier but up 26.9% from the prior quarter.
Eco Science Solutions (ESSI) Research & Development (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Research & Development at Eco Science Solutions was $269,835, down 21.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $307,867, down 7.2% from FY2025.
- Annual Research & Development shows a five-year compound annual growth rate of 15.0% (FY2021 to FY2026).
- In prior fiscal years, Eco Science Solutions' Research & Development was $331,578 in FY2025 (+231.6%), $100,000 in FY2024 (-87.2%) and $781,782 in FY2023.
- Quarterly Research & Development has run from a low of -$221,253 in fiscal Q4 2024 to a high of $218,059 in fiscal Q3 2023 over five years.
- On a year-over-year basis, Research & Development has declined in each of the last five quarters, with an average decline of 12.6% over the last seven quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q1 2026, with growth of 17.7%; the weakest was fiscal Q3 2024, with a decline of 50.7%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $62,033 (Q1 2027), $54,921 (Q4 2026) and $74,176 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 2.40 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | - |
| 10 | Eco Science Solutions | 3.34 Mn | 3.28 Mn | - | 78,705.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 78,705.00 |
| Apr 30, 2026 | 62,033.00 |
| Jan 31, 2026 | 54,921.00 |
| Oct 31, 2025 | 74,176.00 |
| Jul 31, 2025 | 80,053.00 |
| Apr 30, 2025 | 98,717.00 |
| Jan 31, 2025 | 79,538.00 |
| Oct 31, 2024 | 86,081.00 |
| Jul 31, 2024 | 82,087.00 |
| Apr 30, 2024 | 83,872.00 |
| Jan 31, 2024 | -221,253.00 |
| Oct 31, 2023 | 107,603.00 |
| Jul 31, 2023 | 123,696.00 |
| Apr 30, 2023 | 100,000.00 |
| Jan 31, 2023 | 209,600.00 |
| Oct 31, 2022 | 218,059.00 |
| Jan 31, 2021 | 44,862.00 |
| Oct 31, 2020 | 36,892.00 |
| Jul 31, 2020 | 36,469.00 |
| Apr 30, 2020 | 35,052.00 |
Eco Science Solutions Research & Development 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=research-and-development&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();