Star Gold (SRGZ) Accumulated Expenses (2015 - 2017)
Star Gold (SRGZ) reported Accumulated Expenses of $9,000 for fiscal Q3 2017 (quarter ended Jan 31, 2017), unchanged from $9,000 a year earlier and down 71.2% from the prior quarter.
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Analysis
Star Gold (SRGZ) Accumulated Expenses (2015 - 2017) Analysis & Trends
At the end of FY2016 (ended Apr 30, 2016), Star Gold posted Accumulated Expenses of $12,381, down 25.3% from FY2015.
- By fiscal year, Accumulated Expenses came in at $16,571 in FY2015.
- Five-year quarterly Accumulated Expenses spans a low of $6,634 in fiscal Q1 2016 and a high of $31,250 in fiscal Q2 2017.
- Per Business Quant data, the three fiscal quarters before Q3 2017 came in at $31,250 (Q2 2017), $23,037 (Q1 2017) and $12,381 (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 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 |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Star Gold | 30.68 Mn | 26.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2017 | 9,000.00 |
| Oct 31, 2016 | 31,250.00 |
| Jul 31, 2016 | 23,037.00 |
| Apr 30, 2016 | 12,381.00 |
| Jan 31, 2016 | 9,000.00 |
| Jul 31, 2015 | 6,634.00 |
| Apr 30, 2015 | 16,571.00 |
API Access
Star Gold Accumulated Expenses 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=accumulated-expenses&ticker=SRGZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SRGZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SRGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();