Idaho Copper (COPR) Return on Sales [ROS] (2010 - 2020)
Idaho Copper (COPR) reported Return on Sales [ROS] of -32.76% for fiscal Q3 2020 (quarter ended Sep 30, 2020), up 86.24 percentage points from -119.00% a year earlier and up 43.68 percentage points from the prior quarter.
Idaho Copper (COPR) Return on Sales [ROS] (2010 - 2020) Analysis & Trends
Over the twelve months ended Sep 30, 2020, Idaho Copper's Return on Sales [ROS] came in at 177.52%, up 362.78 percentage points year-over-year; for FY2019 (ended Dec 31, 2019), it came in at -19.44%, up 69.69 percentage points from FY2018.
- Return on Sales [ROS] has a five-year change of +49.53 percentage points (FY2014 to FY2019).
- By fiscal year, Return on Sales [ROS] came in at -89.14% in FY2018 (-68.94 pp), -20.20% in FY2017 (-21.49 pp), 1.29% in FY2016 (+14.96 pp) and -13.67% in FY2015 (+55.30 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -728.74% in fiscal Q1 2020 and a high of 507.83% in fiscal Q4 2019.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -6.23 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2019 (a gain of 712.35 percentage points); the low point was fiscal Q1 2020 (a drop of 462.02 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2020 came in at -76.43% (Q2 2020), -728.74% (Q1 2020) and 507.83% (Q4 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 6.29% |
| 10 | Idaho Copper | 50.12 Mn | 37.81 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -32.76% |
| Jun 30, 2020 | -76.43% |
| Mar 31, 2020 | -728.74% |
| Dec 31, 2019 | 507.83% |
| Sep 30, 2019 | -119.00% |
| Jun 30, 2019 | -158.99% |
| Mar 31, 2019 | -266.71% |
| Dec 31, 2018 | -204.52% |
| Sep 30, 2018 | -79.77% |
| Jun 30, 2018 | -50.25% |
| Mar 31, 2018 | -108.34% |
| Dec 31, 2017 | -41.87% |
| Sep 30, 2017 | -35.44% |
| Jun 30, 2017 | 6.39% |
| Mar 31, 2017 | -25.40% |
| Dec 31, 2016 | 35.38% |
| Sep 30, 2016 | -13.79% |
| Jun 30, 2016 | -29.77% |
| Mar 31, 2016 | -24.94% |
| Dec 31, 2015 | 1.89% |
Idaho Copper Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=COPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=COPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();