Everpure (P) Depreciation and Depletion (2014 - 2021)
Everpure (P) recorded Depreciation and Depletion of $14.5 million in fiscal Q1 2022 (quarter ended May 2, 2021), up 16.9% from $12.4 million a year earlier but down 9.4% from the prior quarter.
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Analysis
Everpure (P) Depreciation and Depletion (2014 - 2021) Analysis & Trends
On a TTM basis, Everpure's Depreciation and Depletion came in at $59.2 million as of May 2, 2021, down 18.9% year-over-year; for FY2021 (ended Jan 31, 2021), it came in at $57.1 million, down 29.0% from FY2020.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 13.0% (FY2016 to FY2021).
- Across earlier fiscal years, Depreciation and Depletion came in at $80.4 million in FY2020 (+17.7%), $68.3 million in FY2019 (+13.5%), $60.2 million in FY2018 (+23.4%) and $48.8 million in FY2017 (+57.4%).
- Quarterly Depreciation and Depletion has ranged from $8 million in fiscal Q4 2019 to $20.6 million in fiscal Q3 2020 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in four of the last eight quarters, with growth averaging 11.6%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 151.3% in fiscal Q4 2020, against a decline of 49.4% in fiscal Q4 2019 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16 million (Q4 2021), $14.9 million (Q3 2021) and $13.8 million (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | - |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | - |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | - |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | - |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 2, 2021 | 14.50 Mn |
| Jan 31, 2021 | 16.00 Mn |
| Nov 1, 2020 | 14.90 Mn |
| Aug 2, 2020 | 13.80 Mn |
| May 3, 2020 | 12.40 Mn |
| Feb 2, 2020 | 20.10 Mn |
| Oct 31, 2019 | 20.60 Mn |
| Jul 31, 2019 | 19.90 Mn |
| Apr 30, 2019 | 19.80 Mn |
| Jan 31, 2019 | 8.00 Mn |
| Oct 31, 2018 | 16.90 Mn |
| Jul 31, 2018 | 16.80 Mn |
| Apr 30, 2018 | 16.00 Mn |
| Jan 31, 2018 | 15.80 Mn |
| Oct 31, 2017 | 15.20 Mn |
| Jul 31, 2017 | 14.80 Mn |
| Apr 30, 2017 | 14.40 Mn |
| Jan 31, 2017 | 13.90 Mn |
| Oct 31, 2016 | 13.20 Mn |
| Jul 31, 2016 | 11.60 Mn |
API Access
Everpure 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=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "P", "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=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();