Goldgroup Mining (GORO) Change in Accured Expenses (2010 - 2025)
Goldgroup Mining (GORO) recorded Change in Accured Expenses of -$33,000 in FY2025, compared with -$67,000 in FY2024.
Analysis
Goldgroup Mining (GORO) Change in Accured Expenses (2010 - 2025) Analysis & Trends
Starting with FY2011, Goldgroup Mining's Change in Accured Expenses history includes 5 years.
- The FY2025 figure is the highest annual Change in Accured Expenses since FY2013.
- Per Business Quant data, GORO's Change in Accured Expenses was -$67,000 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | -166.00 Mn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | - |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | Goldgroup Mining | 518.04 Mn | 439.53 Mn | 19.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -33,000.00 |
| Mar 31, 2024 | -67,000.00 |
| Sep 30, 2014 | -1.65 Mn |
| Jun 30, 2014 | -751,000.00 |
| Mar 31, 2014 | -608,000.00 |
| Dec 31, 2013 | -2.61 Mn |
| Sep 30, 2013 | 2.29 Mn |
| Jun 30, 2013 | 213,000.00 |
| Mar 31, 2013 | 1.47 Mn |
| Dec 31, 2012 | -3.70 Mn |
| Sep 30, 2012 | 76,000.00 |
| Jun 30, 2012 | -161,000.00 |
| Mar 31, 2012 | 3.13 Mn |
| Dec 31, 2011 | 2.68 Mn |
| Sep 30, 2011 | 637,000.00 |
| Jun 30, 2011 | -291,000.00 |
| Mar 31, 2011 | -230,000.00 |
| Sep 30, 2010 | -559,000.00 |
API Access
Goldgroup Mining Change in Accured 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=change-in-accured-expenses&ticker=GORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GORO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=GORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();