Ranger Gold (RNGC) Selling, General & Administrative (2010 - 2025)
Ranger Gold's Selling, General & Administrative was $8.00 in FY2025 (year ended Mar 31, 2025).
Analysis
Ranger Gold (RNGC) Selling, General & Administrative (2010 - 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 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Ranger Gold | 2.48 Mn | 2.48 Mn | - | - |
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 |
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();