U.S. Gold (USAU) Cost of Revenue (2010 - 2017)
U.S. Gold (USAU) posted Cost of Revenue of $4.51 million for fiscal Q4 2017 (quarter ended Apr 30, 2017), down 22.8% from $5.84 million a year earlier but up 13.9% from the prior quarter.
U.S. Gold (USAU) Cost of Revenue (2010 - 2017) Analysis & Trends
For FY2017 (ended Apr 30, 2017), U.S. Gold's Cost of Revenue came in at $19.17 million, down 27.5% from FY2016.
- Annual Cost of Revenue has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -14.9% (FY2012 to FY2017).
- In prior fiscal years, U.S. Gold's Cost of Revenue was $26.42 million in FY2016 (-14.8%), $31.01 million in FY2015 (-5.2%), $32.72 million in FY2014 (+2.6%) and $31.9 million in FY2013 (-25.8%).
- Quarterly Cost of Revenue has run from a low of $3.96 million in fiscal Q3 2017 to a high of $8.86 million in fiscal Q1 2013 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last nine quarters, with an average decline of 20.8% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q3 2014, with growth of 17.7%; the weakest was fiscal Q3 2017, with a decline of 43.5%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $3.96 million (Q3 2017), $4.9 million (Q2 2017) and $5.8 million (Q1 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 1.39 Bn |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 2.14 Bn |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 4.84 Bn |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 953.76 Mn |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 2.40 Bn |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 8.36 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | - |
| 10 | U.S. Gold | 176.17 Mn | 73.46 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2017 | 4.51 Mn |
| Jan 31, 2017 | 3.96 Mn |
| Oct 31, 2016 | 4.90 Mn |
| Jul 31, 2016 | 5.80 Mn |
| Apr 30, 2016 | 5.84 Mn |
| Jan 31, 2016 | 7.01 Mn |
| Oct 31, 2015 | 6.17 Mn |
| Jul 31, 2015 | 7.39 Mn |
| Apr 30, 2015 | 6.39 Mn |
| Jan 31, 2015 | 8.64 Mn |
| Oct 31, 2014 | 7.69 Mn |
| Jul 31, 2014 | 8.29 Mn |
| Apr 30, 2014 | 8.47 Mn |
| Jan 31, 2014 | 8.42 Mn |
| Oct 31, 2013 | 7.67 Mn |
| Jul 31, 2013 | 8.16 Mn |
| Apr 30, 2013 | 7.73 Mn |
| Jan 31, 2013 | 7.15 Mn |
| Oct 31, 2012 | 8.15 Mn |
| Jul 31, 2012 | 8.86 Mn |
U.S. Gold Cost of Revenue 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=cost-of-revenue&ticker=USAU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();