Dynaresource (DYNR) Operating Expenses (2010 - 2026)
Dynaresource's Operating Expenses was $1.45 million in Q2 2026, down 89.0% from $13.14 million a year earlier but up 5.5% from the prior quarter.
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Analysis
Dynaresource (DYNR) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dynaresource's Operating Expenses was $5.97 million through Jun 30, 2026, up 95.1% year-over-year; for FY2025, it came in at $7.61 million, up 37.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $5.54 million in FY2024 (-89.1%), $50.8 million in FY2023 (+37.3%), $37 million in FY2022 (+63.0%) and $22.7 million in FY2021 (+93.5%).
- Quarterly Operating Expenses has moved between -$33.77 million (Q4 2024) and $13.97 million (Q2 2024) over five years.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 103.7%); the worst was Q2 2026 (a decline of 89.0%).
- Per Business Quant data, DYNR's Operating Expenses in the three quarters before Q2 2026 was $1.37 million (Q1 2026), $1.56 million (Q4 2025) and $1.59 million (Q3 2025).
Peer Set
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 | Dynaresource | 24.12 Mn | 10.81 Mn | 963,442.00 | 1.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Mn |
| Mar 31, 2026 | 1.37 Mn |
| Dec 31, 2025 | 1.56 Mn |
| Sep 30, 2025 | 1.59 Mn |
| Jun 30, 2025 | 13.14 Mn |
| Mar 31, 2025 | 11.87 Mn |
| Dec 31, 2024 | -33.77 Mn |
| Sep 30, 2024 | 11.83 Mn |
| Jun 30, 2024 | 13.97 Mn |
| Mar 31, 2024 | 13.52 Mn |
| Dec 31, 2023 | 13.59 Mn |
| Sep 30, 2023 | 12.21 Mn |
| Jun 30, 2023 | 12.94 Mn |
| Mar 31, 2023 | 12.07 Mn |
| Dec 31, 2022 | 10.68 Mn |
| Sep 30, 2022 | 9.35 Mn |
| Jun 30, 2022 | 10.72 Mn |
| Mar 31, 2022 | 6.25 Mn |
| Dec 31, 2021 | 8.09 Mn |
| Sep 30, 2021 | 5.82 Mn |
API Access
Dynaresource 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=DYNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DYNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();