Eco Science Solutions (ESSI) Property, Plant & Equipment (Net) (2011 - 2020)
Eco Science Solutions (ESSI) reported Property, Plant & Equipment (Net) of $193.00 for fiscal Q2 2021 (quarter ended Jul 31, 2020), down 95.1% from $3,953 a year earlier and down 69.7% from the prior quarter.
Eco Science Solutions (ESSI) Property, Plant & Equipment (Net) (2011 - 2020) Analysis & Trends
At the end of FY2020 (ended Jan 31, 2020), Eco Science Solutions posted Property, Plant & Equipment (Net) of $1,741, down 71.8% from FY2019.
- Property, Plant & Equipment (Net) has a three-year compound annual growth rate of 2.1% (FY2017 to FY2020).
- By fiscal year, Property, Plant & Equipment (Net) came in at $6,164 in FY2019 (-45.3%), $11,273 in FY2018 (+589.9%) and $1,634 in FY2017.
- The fiscal Q2 2021 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2011.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last nine quarters, with an average decline of 63.3% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q4 2018 (growth of 589.9%); the low point was fiscal Q2 2021 (a decline of 95.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2021 came in at $636.00 (Q1 2021), $1,741 (Q4 2020) and $2,847 (Q3 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 127.85 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 5.14 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | 96.75 Mn |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 342.00 Mn |
| 10 | Eco Science Solutions | 3.34 Mn | 3.28 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2020 | 193.00 |
| Apr 30, 2020 | 636.00 |
| Jan 31, 2020 | 1,741.00 |
| Oct 31, 2019 | 2,847.00 |
| Jul 31, 2019 | 3,953.00 |
| Apr 30, 2019 | 5,058.00 |
| Jan 31, 2019 | 6,164.00 |
| Oct 31, 2018 | 7,390.00 |
| Jul 31, 2018 | 8,684.00 |
| Apr 30, 2018 | 9,979.00 |
| Jan 31, 2018 | 11,273.00 |
| Oct 31, 2017 | 12,567.00 |
| Jul 31, 2017 | 13,860.00 |
| Apr 30, 2017 | 9,394.00 |
| Jan 31, 2017 | 1,634.00 |
| Oct 31, 2016 | 1,823.00 |
| Jul 31, 2016 | 2,011.00 |
| Apr 30, 2016 | 2,200.00 |
| Oct 31, 2013 | 11,264.00 |
| Jul 31, 2013 | 11,785.00 |
Eco Science Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ESSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();