U.S. Gold (USAU) Inventory (2011 - 2017)
U.S. Gold's Inventory came in at $945,000 for fiscal Q4 2017 (quarter ended Apr 30, 2017), down 29.3% from $1.34 million a year earlier and down 4.2% from the prior quarter.
U.S. Gold (USAU) Inventory (2011 - 2017) Analysis & Trends
Going back to fiscal Q4 2011, U.S. Gold's Inventory data covers 25 quarters.
- Inventory has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -20.3% (FY2012 to FY2017).
- Going back by fiscal year, Inventory was $1.34 million in FY2016 (-36.0%), $2.09 million in FY2015 (-8.8%), $2.29 million in FY2014 (-21.1%) and $2.9 million in FY2013 (-1.0%).
- The fiscal Q4 2017 figure represents the lowest quarterly Inventory in data going back to fiscal Q4 2011.
- Year-over-year, Inventory has declined for 21 consecutive quarters, with an average decline of 26.3% over the last eight quarters.
- The year-over-year decline in Inventory has ranged between 0.2% (fiscal Q3 2015) and 42.9% (fiscal Q2 2014) over the last five years.
- Business Quant data shows USAU's Inventory at $986,606 (Q3 2017), $1.33 million (Q2 2017) and $1.27 million (Q1 2017) in the three fiscal quarters before Q4 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 4.40 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 1.62 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 19.28 Bn |
| 10 | U.S. Gold | 245.58 Mn | 245.58 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2017 | 945,000.00 |
| Jan 31, 2017 | 986,606.00 |
| Oct 31, 2016 | 1.33 Mn |
| Jul 31, 2016 | 1.27 Mn |
| Apr 30, 2016 | 1.34 Mn |
| Jan 31, 2016 | 1.56 Mn |
| Oct 31, 2015 | 1.39 Mn |
| Jul 31, 2015 | 1.87 Mn |
| Apr 30, 2015 | 2.09 Mn |
| Jan 31, 2015 | 2.27 Mn |
| Oct 31, 2014 | 2.07 Mn |
| Jul 31, 2014 | 2.02 Mn |
| Apr 30, 2014 | 2.29 Mn |
| Jan 31, 2014 | 2.27 Mn |
| Oct 31, 2013 | 2.18 Mn |
| Jul 31, 2013 | 2.72 Mn |
| Apr 30, 2013 | 2.90 Mn |
| Jan 31, 2013 | 2.91 Mn |
| Oct 31, 2012 | 3.82 Mn |
| Jul 31, 2012 | 3.80 Mn |
U.S. Gold Inventory 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=inventory&ticker=USAU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();