Star Gold (SRGZ) Accumulated Expenses (2013 - 2026)
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.
Star Gold (SRGZ) Accumulated Expenses (2013 - 2026) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | Star Gold | 46.90 Mn | 42.69 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 171,719.00 |
| Oct 31, 2025 | 153,676.00 |
| Jul 31, 2025 | 136,239.00 |
| Apr 30, 2025 | 120,507.00 |
| Jan 31, 2025 | 106,258.00 |
| Oct 31, 2024 | 92,590.00 |
| Jul 31, 2024 | 79,080.00 |
| Apr 30, 2024 | 66,952.00 |
| Jan 31, 2024 | 55,515.00 |
| Oct 31, 2023 | 43,966.00 |
| Jul 31, 2023 | 33,081.00 |
| Apr 30, 2023 | 25,208.00 |
| Jan 31, 2023 | 18,449.00 |
| Oct 31, 2022 | 11,828.00 |
| Apr 30, 2022 | 3,226.00 |
| 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 |
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_KEY
import 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();