Vista Gold (VGZ) Shares Outstanding (Diluted) (2010 - 2026)
Vista Gold's Shares Outstanding (Diluted) came in at 145.97 million for Q2 2026, up 16.8% from 124.93 million a year earlier and up 10.9% from the prior quarter.
Vista Gold (VGZ) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Vista Gold's Shares Outstanding (Diluted) was 125.16 million, down 0.4% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 125.61 million in FY2024 (+4.3%), 120.47 million in FY2023 (+2.1%), 118.01 million in FY2022 (+7.0%) and 110.26 million in FY2021 (+5.5%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year-over-year, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 4.0%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2026 (growth of 16.8%), and the weakest in Q2 2025 (a decline of 0.4%).
- Business Quant data shows VGZ's Shares Outstanding (Diluted) at 131.6 million (Q1 2026), 125.16 million (Q4 2025) and 125.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 1.64 Bn |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 829.10 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | 1.63 Bn |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 1.05 Bn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 1.44 Bn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 503.43 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 1.71 Bn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 228.50 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | 766.00 Mn |
| 10 | Vista Gold | 383.90 Mn | 254.30 Mn | - | 145.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.97 Mn |
| Mar 31, 2026 | 131.60 Mn |
| Dec 31, 2025 | 125.16 Mn |
| Sep 30, 2025 | 125.36 Mn |
| Jun 30, 2025 | 124.93 Mn |
| Mar 31, 2025 | 123.87 Mn |
| Dec 31, 2024 | 125.61 Mn |
| Sep 30, 2024 | 122.34 Mn |
| Jun 30, 2024 | 125.42 Mn |
| Mar 31, 2024 | 121.22 Mn |
| Dec 31, 2023 | 120.47 Mn |
| Sep 30, 2023 | 121.09 Mn |
| Jun 30, 2023 | 120.64 Mn |
| Mar 31, 2023 | 119.04 Mn |
| Dec 31, 2022 | 118.01 Mn |
| Sep 30, 2022 | 118.13 Mn |
| Jun 30, 2022 | 118.08 Mn |
| Mar 31, 2022 | 117.44 Mn |
| Dec 31, 2021 | 110.26 Mn |
| Sep 30, 2021 | 115.59 Mn |
Vista Gold Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=VGZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=VGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();