U.S. Gold (USAU) Long-Term Debt Repayments (2011 - 2016)
U.S. Gold (USAU) posted Long-Term Debt Repayments of $285,000 for FY2017 (year ended Apr 30, 2017), up 917.9% from $28,000 in FY2016.
Analysis
U.S. Gold (USAU) Long-Term Debt Repayments (2011 - 2016) Analysis & Trends
Since FY2010, U.S. Gold has reported Long-Term Debt Repayments for 8 fiscal years.
- The FY2017 figure stands as the highest annual Long-Term Debt Repayments since FY2014.
- Business Quant data shows USAU's Long-Term Debt Repayments at $28,000 in FY2016 (-33.3%), $42,000 in FY2015 (-95.7%), $966,667 in FY2014 (+190.3%) and $333,000 in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 14.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -19.00 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 970.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 5.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 33.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | U.S. Gold | 245.58 Mn | 245.58 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2016 | 500.00 |
| Jul 31, 2015 | 27,500.00 |
| Apr 30, 2015 | 42,000.00 |
| Jul 31, 2014 | 17,915.00 |
| Jan 31, 2014 | 100,000.00 |
| Oct 31, 2013 | 600,000.00 |
| Jul 31, 2013 | 100,000.00 |
| Apr 30, 2013 | 99,667.00 |
| Jan 31, 2013 | 100,000.00 |
| Oct 31, 2012 | 100,000.00 |
| Jul 31, 2012 | 33,333.00 |
| Jan 31, 2012 | -500,000.00 |
| Apr 30, 2011 | -1.00 Mn |
| Jan 31, 2011 | -500,000.00 |
API Access
U.S. Gold Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=USAU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();