Eco Science Solutions (ESSI) Price to Sales (2017 - 2026)
Eco Science Solutions' (ESSI) Price to Sales came in at 1441.02 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 96.4% from the prior quarter.
Eco Science Solutions (ESSI) Price to Sales (2017 - 2026) Analysis & Trends
For FY2021 (ended Jan 31, 2021), Eco Science Solutions' Price to Sales stood at 281.22, down 7.1% from FY2020.
- In prior fiscal years, Eco Science Solutions' Price to Sales was 302.56 in FY2020.
- The fiscal Q2 2027 figure stands as the lowest quarterly Price to Sales since fiscal Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - |
| 10 | Eco Science Solutions | 3.71 Mn | 3.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1,441.02 |
| Apr 30, 2026 | 39,770.51 |
| Jan 31, 2023 | 35.13 |
| Oct 31, 2022 | 16.29 |
| Jan 31, 2021 | 281.22 |
| Oct 31, 2020 | 244.20 |
| Jul 31, 2020 | 284.22 |
| Apr 30, 2020 | 439.01 |
| Jan 31, 2020 | 274.95 |
| Oct 31, 2019 | 477.10 |
| Jul 31, 2019 | 1,011.62 |
| Apr 30, 2019 | 2,023.23 |
| Jan 31, 2019 | 3,051.61 |
| Oct 31, 2018 | 3,764.97 |
| Jul 31, 2018 | 8,680.41 |
| Apr 30, 2018 | 21,796.62 |
| Jan 31, 2018 | 57,763.74 |
| Oct 31, 2017 | 338,970.03 |
Eco Science Solutions Price to Sales 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=price-to-sales&ticker=ESSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();