Dakota Gold (DC) Operating Expenses (2021 - 2026)
Dakota Gold (DC) reported Operating Expenses of $2.73 million for Q2 2026, down 60.3% from $6.87 million a year earlier.
Dakota Gold (DC) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dakota Gold's Operating Expenses came in at $23.3 million, down 13.7% year-over-year; for FY2025, it came in at $9.76 million, down 71.6% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 47.0% (FY2021 to FY2025).
- By year, Operating Expenses came in at $34.33 million in FY2024 (-9.7%), $38.04 million in FY2023 (+75.5%), $21.68 million in FY2022 and $2.09 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses in data going back to Q2 2023.
- Year over year, Operating Expenses gained in two of the last seven quarters, with an average decline of 29.9%.
- The high point for year-over-year Operating Expenses in five years was Q3 2024 (growth of 15.4%); the low point was Q2 2026 (a decline of 60.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Dakota Gold | 828.55 Mn | 828.55 Mn | - | 2.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.73 Mn |
| Dec 31, 2025 | 2.84 Mn |
| Sep 30, 2025 | 10.86 Mn |
| Jun 30, 2025 | 6.87 Mn |
| Mar 31, 2025 | 3.81 Mn |
| Dec 31, 2024 | 6.08 Mn |
| Sep 30, 2024 | 10.23 Mn |
| Jun 30, 2024 | 9.23 Mn |
| Mar 31, 2024 | 8.79 Mn |
| Sep 30, 2023 | 8.86 Mn |
| Jun 30, 2023 | 10.18 Mn |
| Mar 31, 2023 | 9.58 Mn |
| Sep 30, 2022 | 7.07 Mn |
| Jun 30, 2022 | 7.08 Mn |
| Mar 31, 2022 | 7.64 Mn |
| Dec 31, 2021 | 5.55 Mn |
| Sep 30, 2021 | 5.17 Mn |
| Jun 30, 2021 | 12.91 Mn |
Dakota Gold Operating 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=operating-expenses&ticker=DC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();