Dakota Gold (DC) Price to Book (2022 - 2026)
Dakota Gold's (DC) Price to Book came in at 3.11 for Q2 2026, down 6.6% from 3.33 a year earlier.
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Analysis
Dakota Gold (DC) Price to Book (2022 - 2026) Analysis & Trends
For FY2025, Dakota Gold's Price to Book stood at 5.76, up 152.4% from FY2024.
- In prior years, Dakota Gold's Price to Book was 2.28 in FY2024 (+3.9%), 2.19 in FY2023 (-0.7%) and 2.21 in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Price to Book since Q1 2025.
- On a year-over-year basis, Price to Book increased in six of the last seven quarters, with growth averaging 41.0%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q4 2025, with growth of 152.4%; the weakest was Q2 2026, with a decline of 6.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Dakota Gold | 815.14 Mn | 815.14 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.11 |
| Dec 31, 2025 | 5.76 |
| Sep 30, 2025 | 4.43 |
| Jun 30, 2025 | 3.33 |
| Mar 31, 2025 | 2.27 |
| Dec 31, 2024 | 2.28 |
| Sep 30, 2024 | 2.37 |
| Jun 30, 2024 | 2.42 |
| Mar 31, 2024 | 2.14 |
| Dec 31, 2023 | 2.19 |
| Sep 30, 2023 | 2.21 |
| Jun 30, 2023 | 2.39 |
| Mar 31, 2023 | 2.78 |
| Dec 31, 2022 | 2.21 |
| Sep 30, 2022 | 2.10 |
| Jun 30, 2022 | 2.19 |
API Access
Dakota Gold Price to Book 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=price-to-book&ticker=DC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=DC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();