U.S. Gold (USAU) Return on Sales [ROS] (2010 - 2020)
U.S. Gold (USAU) recorded Return on Sales [ROS] of -299.04% in FY2022 (year ended Apr 30, 2022), down 51.30 percentage points from -247.74% in FY2021.
Analysis
U.S. Gold (USAU) Return on Sales [ROS] (2010 - 2020) Analysis & Trends
Starting with FY2010, U.S. Gold's Return on Sales [ROS] history includes 11 fiscal years.
- Annual Return on Sales [ROS] has a five-year change of -275.22 percentage points (FY2017 to FY2022).
- The FY2022 figure is the lowest annual Return on Sales [ROS] in data going back to FY2010.
- Per Business Quant data, USAU's Return on Sales [ROS] was -247.74% in FY2021 and -152.22% in FY2019.
Peer Set
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 | U.S. Gold | 239.13 Mn | 239.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2020 | -124.21% |
| Oct 31, 2019 | -71.54% |
| Jul 31, 2019 | -26.17% |
| Apr 30, 2019 | -60.95% |
| Apr 30, 2017 | -10.76% |
| Jan 31, 2017 | -47.21% |
| Oct 31, 2016 | -14.83% |
| Jul 31, 2016 | -27.23% |
| Apr 30, 2016 | -12.59% |
| Jan 31, 2016 | -6.18% |
| Oct 31, 2015 | -2.04% |
| Jul 31, 2015 | -0.75% |
| Apr 30, 2015 | -14.05% |
| Jan 31, 2015 | -7.33% |
| Oct 31, 2014 | -11.78% |
| Jul 31, 2014 | -7.26% |
| Apr 30, 2014 | -6.07% |
| Jan 31, 2014 | -10.18% |
| Oct 31, 2013 | -3.48% |
| Jul 31, 2013 | -10.82% |
API Access
U.S. Gold 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=USAU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "USAU", "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=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();