Dynaresource (DYNR) Price to Book (2010 - 2026)
Dynaresource's (DYNR) Price to Book stood at 2.85 in Q2 2026, down 70.8% from 9.73 a year earlier and down 83.5% from the prior quarter.
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Analysis
Dynaresource (DYNR) Price to Book (2010 - 2026) Analysis & Trends
For FY2024, Dynaresource's Price to Book came in at 28.79, up 5.8% from FY2023.
- Across earlier years, Price to Book came in at 27.20 in FY2023 (+561.0%) and 4.11 in FY2022.
- The Q2 2026 figure is the lowest quarterly Price to Book since Q2 2013.
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 | Dynaresource | 26.53 Mn | 13.23 Mn | 963,442.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.85 |
| Mar 31, 2026 | 17.26 |
| Sep 30, 2025 | 8.32 |
| Jun 30, 2025 | 9.73 |
| Mar 31, 2025 | 14.71 |
| Dec 31, 2024 | 28.79 |
| Dec 31, 2023 | 27.20 |
| Sep 30, 2023 | 5.75 |
| Jun 30, 2023 | 3.45 |
| Mar 31, 2023 | 3.76 |
| Dec 31, 2022 | 4.11 |
| Sep 30, 2022 | 4.88 |
| Jun 30, 2022 | 3.73 |
| Mar 31, 2022 | 7.46 |
| Mar 31, 2018 | 31.10 |
| Sep 30, 2017 | 4.55 |
| Jun 30, 2017 | 9.78 |
| Mar 31, 2017 | 6.54 |
| Sep 30, 2016 | 6.68 |
| Sep 30, 2015 | 6.36 |
API Access
Dynaresource 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=DYNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DYNR", "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=DYNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();