Ranger Gold (RNGC) Selling, General & Administrative (2009 - 2025)
Ranger Gold's Selling, General & Administrative was $8.00 in FY2025 (year ended Mar 31, 2025).
Analysis
Ranger Gold (RNGC) Selling, General & Administrative (2009 - 2025) Analysis & Trends
From FY2011 onward, Ranger Gold has reported Selling, General & Administrative for 4 fiscal years.
- The FY2025 figure marks the highest annual Selling, General & Administrative since FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 444.00 Mn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 36.40 Mn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 82.00 Mn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | 447.84 Mn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 69.56 Mn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 131.00 Mn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 51.00 Mn |
| 10 | Ranger Gold | 53,507.66 | 53,507.66 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 8.00 |
| Dec 31, 2013 | 16,040.00 |
| Sep 30, 2013 | 24,756.00 |
| Jun 30, 2013 | 26,779.00 |
| Mar 31, 2013 | 12,631.00 |
| Dec 31, 2012 | 16,986.00 |
| Sep 30, 2012 | 13,561.00 |
| Jun 30, 2012 | 26,611.00 |
| Mar 31, 2012 | 12,690.00 |
| Dec 31, 2011 | 20,860.00 |
| Sep 30, 2011 | 23,744.00 |
| Jun 30, 2011 | 8,153.00 |
| Mar 31, 2011 | 49,056.00 |
| Dec 31, 2010 | 32,544.00 |
| Sep 30, 2010 | -52,907.00 |
| Jun 30, 2010 | 128,950.00 |
| Mar 31, 2010 | 69,263.00 |
| Dec 31, 2009 | 19,364.00 |
| Sep 30, 2009 | 5,330.00 |
| Jun 30, 2009 | 10,500.00 |
API Access
Ranger Gold Selling, General & Administrative 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=selling-general-and-administrative&ticker=RNGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RNGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=RNGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();