Dakota Gold (DC) Shares Outstanding (Diluted) (2021 - 2026)
Dakota Gold (DC) reported Weighted Average Shares Outstanding (Diluted) of 133.85 million for Q2 2026, up 19.5% from 112.04 million a year earlier and up 8.1% from the prior quarter.
Dakota Gold (DC) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Dakota Gold posted Weighted Average Shares Outstanding (Diluted) of 108.9 million, up 19.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for three consecutive years, with a four-year compound annual growth rate of 47.2% (FY2021 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 90.89 million in FY2024 (+16.1%), 78.25 million in FY2023 (+8.5%), 72.09 million in FY2022 and 23.17 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2022.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last nine quarters, with growth averaging 20.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 8.5% in Q4 2023 to 27.5% in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at 123.78 million (Q1 2026), 108.9 million (Q4 2025) and 112.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | 1.64 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 | - | 1.63 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 | - |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 503.43 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 | 228.50 Mn |
| 10 | Dakota Gold | 795.72 Mn | 526.81 Mn | - | 133.85 Mn |
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 |
Dakota 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=DC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=DC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();