Vista Gold (VGZ) Other Accumulated Expenses (2015 - 2025)
Vista Gold (VGZ) posted Other Accumulated Expenses of $37,000 for Q2 2025, unchanged from the prior quarter.
Analysis
Vista Gold (VGZ) Other Accumulated Expenses (2015 - 2025) Analysis & Trends
Since Q4 2010, Vista Gold has reported Other Accumulated Expenses for 22 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -31.2% (FY2019 to FY2024).
- In prior years, Vista Gold's Other Accumulated Expenses was $38,000 in FY2022.
- Quarterly Other Accumulated Expenses has run from a low of $30,000 in Q3 2023 to a high of $44,000 in Q1 2023 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.49 Bn | 132.28 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.48 Bn | 95.98 Bn | - |
| 4 | Newmont | 113.96 Bn | 79.11 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.17 Bn | 76.80 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.05 Bn | 40.24 Bn | 2.90 Bn |
| 8 | Nucor | 58.96 Bn | 48.35 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.39 Bn | 24.42 Bn | - |
| 10 | Vista Gold | 386.09 Mn | 256.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 37,000.00 |
| Mar 31, 2025 | 37,000.00 |
| Dec 31, 2024 | 37,000.00 |
| Sep 30, 2023 | 30,000.00 |
| Jun 30, 2023 | 41,000.00 |
| Mar 31, 2023 | 44,000.00 |
| Dec 31, 2022 | 38,000.00 |
| Dec 31, 2019 | 240,000.00 |
| Sep 30, 2019 | 240,000.00 |
| Jun 30, 2019 | 240,000.00 |
| Mar 31, 2019 | 242,000.00 |
| Dec 31, 2018 | 242,000.00 |
| Sep 30, 2018 | 242,000.00 |
| Jun 30, 2018 | 241,000.00 |
| Mar 31, 2018 | 241,000.00 |
| Dec 31, 2017 | 242,000.00 |
| Sep 30, 2017 | 260,000.00 |
| Jun 30, 2017 | 322,000.00 |
| Mar 31, 2017 | 336,000.00 |
| Dec 31, 2016 | 350,000.00 |
API Access
Vista Gold Other 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=other-accumulated-expenses&ticker=VGZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "VGZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=VGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();