Dakota Gold (DC) Shares Outstanding (2021 - 2026)
Dakota Gold's Weighted Average Shares Outstanding came in at 133.85 million for Q2 2026, up 19.5% from 112.04 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Dakota Gold (DC) Shares Outstanding (2021 - 2026) Analysis & Trends
For FY2025, Dakota Gold's Weighted Average Shares Outstanding was 108.9 million, up 19.8% from FY2024.
- Weighted Average Shares Outstanding has increased in each of the last three years, with a three-year compound annual growth rate of 14.7% (FY2022 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 90.89 million in FY2024 (+16.1%), 78.25 million in FY2023 (+8.5%) and 72.09 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2022.
- Year-over-year, Weighted Average Shares Outstanding has increased for nine consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 8.5% (Q4 2023) to 27.5% (Q2 2025).
- Business Quant data shows DC's Weighted Average Shares Outstanding at 123.78 million (Q1 2026), 108.9 million (Q4 2025) and 112.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | 1.62 Bn |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | 829.10 Mn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | 1.62 Bn |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | 1.05 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | 1.96 Bn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 501.99 Mn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | 1.44 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | 1.71 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 228.20 Mn |
| 10 | Dakota Gold | 795.72 Mn | 526.81 Mn | - | 133.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.85 Mn |
| Dec 31, 2025 | 108.90 Mn |
| Sep 30, 2025 | 112.42 Mn |
| Jun 30, 2025 | 112.04 Mn |
| Mar 31, 2025 | 97.56 Mn |
| Dec 31, 2024 | 90.89 Mn |
| Sep 30, 2024 | 93.60 Mn |
| Jun 30, 2024 | 87.89 Mn |
| Mar 31, 2024 | 87.40 Mn |
| Dec 31, 2023 | 78.25 Mn |
| Sep 30, 2023 | 78.08 Mn |
| Jun 30, 2023 | 75.94 Mn |
| Mar 31, 2023 | 73.74 Mn |
| Dec 31, 2022 | 72.09 Mn |
| Sep 30, 2022 | 72.03 Mn |
| Jun 30, 2022 | 70.96 Mn |
| Mar 31, 2022 | 35.64 Mn |
| Dec 31, 2021 | 49.29 Mn |
| Sep 30, 2021 | 49.40 Mn |
| Jun 30, 2021 | 49.06 Mn |
API Access
Dakota Gold Shares Outstanding 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&ticker=DC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DC", "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&ticker=DC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();