Idaho Copper (COPR) Depreciation and Depletion (2010 - 2020)
Idaho Copper (COPR) reported Depreciation and Depletion of $95,847 for fiscal Q3 2020 (quarter ended Sep 30, 2020), down 4.1% from $99,916 a year earlier and down 1.3% from the prior quarter.
Idaho Copper (COPR) Depreciation and Depletion (2010 - 2020) Analysis & Trends
Over the twelve months ended Sep 30, 2020, Idaho Copper's Depreciation and Depletion came in at $390,868, down 5.5% year-over-year; for FY2019 (ended Dec 31, 2019), it was $406,849, down 4.7% from FY2018.
- Depreciation and Depletion has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -3.4% (FY2014 to FY2019).
- By fiscal year, Depreciation and Depletion came in at $426,788 in FY2018 (-6.2%), $454,876 in FY2017 (-2.0%), $464,335 in FY2016 (+35.2%) and $343,439 in FY2015 (-29.1%).
- The fiscal Q3 2020 figure ranks as the lowest quarterly Depreciation and Depletion since fiscal Q2 2018.
- Year over year, Depreciation and Depletion has now declined in each of the last five quarters, with an average decline of 6.1% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q4 2016 (growth of 83.4%); the low point was fiscal Q4 2015 (a decline of 53.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2020 came in at $97,107 (Q2 2020), $99,130 (Q1 2020) and $98,784 (Q4 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | - |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | - |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 555.00 Mn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 320.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | Idaho Copper | 48.26 Mn | 35.95 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 95,847.00 |
| Jun 30, 2020 | 97,107.00 |
| Mar 31, 2020 | 99,130.00 |
| Dec 31, 2019 | 98,784.00 |
| Sep 30, 2019 | 99,916.00 |
| Jun 30, 2019 | 102,432.00 |
| Mar 31, 2019 | 105,717.00 |
| Dec 31, 2018 | 105,505.00 |
| Sep 30, 2018 | 109,826.00 |
| Jun 30, 2018 | 92,383.00 |
| Mar 31, 2018 | 119,074.00 |
| Dec 31, 2017 | 127,980.00 |
| Sep 30, 2017 | 115,282.00 |
| Jun 30, 2017 | 107,662.00 |
| Mar 31, 2017 | 103,952.00 |
| Dec 31, 2016 | 109,252.00 |
| Sep 30, 2016 | 128,343.00 |
| Jun 30, 2016 | 84,414.00 |
| Mar 31, 2016 | 142,326.00 |
| Dec 31, 2015 | 59,571.00 |
Idaho Copper 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=COPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "COPR", "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=COPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();