Eco Science Solutions (ESSI) Depreciation and Depletion (2013 - 2020)
Eco Science Solutions' Depreciation and Depletion came in at $193.00 for fiscal Q3 2021 (quarter ended Oct 31, 2020), down 82.5% from $1,106 a year earlier and down 56.4% from the prior quarter.
Eco Science Solutions (ESSI) Depreciation and Depletion (2013 - 2020) Analysis & Trends
Over the trailing twelve months to Oct 31, 2020, Eco Science Solutions reported Depreciation and Depletion of $2,847, down 37.3% year-over-year; for FY2020 (ended Jan 31, 2020), it came in at $4,423, down 13.4% from FY2019.
- Depreciation and Depletion carries a three-year compound annual growth rate of 91.7% (FY2017 to FY2020).
- Going back by fiscal year, Depreciation and Depletion was $5,109 in FY2019 (+40.9%), $3,627 in FY2018 (+477.5%) and $628.00 in FY2017.
- The fiscal Q3 2021 figure represents the lowest quarterly Depreciation and Depletion since fiscal Q1 2018.
- Year-over-year, Depreciation and Depletion has declined for eight consecutive quarters, with an average decline of 25.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q1 2019 (growth of 588.3%), and the weakest in fiscal Q3 2021 (a decline of 82.5%).
- Business Quant data shows ESSI's Depreciation and Depletion at $443.00 (Q2 2021), $1,105 (Q1 2021) and $1,106 (Q4 2020) in the three fiscal quarters before Q3 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.62 Bn | 438.57 Bn | 1.64 Bn | - |
| 2 | Oracle | 377.51 Bn | 249.64 Bn | - | 3.20 Bn |
| 3 | Sap Se | 278.19 Bn | 205.97 Bn | 8.40 Bn | - |
| 4 | Salesforce | 202.68 Bn | 158.55 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 162.23 Bn | 140.69 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 122.54 Bn | 104.67 Bn | 2.51 Bn | - |
| 7 | Intuit | 95.32 Bn | 74.67 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 74.27 Bn | 73.37 Bn | - | - |
| 9 | Thomson Reuters | 54.91 Bn | 51.69 Bn | - | 27.00 Mn |
| 10 | Eco Science Solutions | 3.71 Mn | 3.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2020 | 193.00 |
| Jul 31, 2020 | 443.00 |
| Apr 30, 2020 | 1,105.00 |
| Jan 31, 2020 | 1,106.00 |
| Oct 31, 2019 | 1,106.00 |
| Jul 31, 2019 | 1,105.00 |
| Apr 30, 2019 | 1,106.00 |
| Jan 31, 2019 | 363,508.00 |
| Oct 31, 2018 | 1,294.00 |
| Jul 31, 2018 | 1,295.00 |
| Apr 30, 2018 | 1,294.00 |
| Jan 31, 2018 | 1,294.00 |
| Oct 31, 2017 | 1,294.00 |
| Jul 31, 2017 | 851.00 |
| Apr 30, 2017 | 188.00 |
| Jan 31, 2017 | 188.00 |
| Oct 31, 2016 | 189.00 |
| Jul 31, 2016 | 188.00 |
| Apr 30, 2016 | 63.00 |
| Oct 31, 2013 | 521.00 |
Eco Science Solutions Depreciation and Depletion 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=depreciation-and-depletion&ticker=ESSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ESSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();