Dynaresource (DYNR) EV to FCF (2016 - 2026)
Dynaresource's (DYNR) EV to FCF came in at 2.33 for Q2 2026, down 76.6% from the prior quarter.
Analysis
Dynaresource (DYNR) EV to FCF (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to FCF at Dynaresource was -0.28; for FY2025, it was 11.73.
- In prior years, Dynaresource's EV to FCF was 0.91 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly EV to FCF since Q2 2022.
- According to Business Quant data, EV to FCF for the three prior quarters was 9.93 (Q1 2026), 11.73 (Q4 2025) and 11.14 (Q3 2025).
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 | 2.33 |
| Mar 31, 2026 | 9.93 |
| Dec 31, 2025 | 11.73 |
| Sep 30, 2025 | 11.14 |
| Jun 30, 2022 | 2.15 |
| Mar 31, 2022 | 1.29 |
| Dec 31, 2021 | 0.91 |
| Sep 30, 2021 | 1.18 |
| Jun 30, 2021 | 0.71 |
| Mar 31, 2021 | 6.68 |
| Sep 30, 2019 | 4.16 |
| Mar 31, 2018 | 15.74 |
| Dec 31, 2017 | 12.55 |
| Sep 30, 2017 | 9.31 |
| Jun 30, 2017 | 8.32 |
| Mar 31, 2017 | 23.74 |
| Dec 31, 2016 | 53.97 |
API Access
Dynaresource EV to FCF 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=ev-to-fcf&ticker=DYNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=DYNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();