Dynaresource (DYNR) Accumulated Expenses (2010 - 2025)
Dynaresource (DYNR) posted Accumulated Expenses of $12.29 million for Q1 2025, up 36.4% from $9.01 million a year earlier and up 24.7% from the prior quarter.
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Analysis
Dynaresource (DYNR) Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2024, Dynaresource's Accumulated Expenses came in at $9.86 million, up 27.6% from FY2023.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 40.9% (FY2019 to FY2024).
- In prior years, Dynaresource's Accumulated Expenses was $7.73 million in FY2023 (+34.2%), $5.76 million in FY2022 (+5.8%), $5.44 million in FY2021 (+60.7%) and $3.39 million in FY2020 (+90.7%).
- The Q1 2025 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 29.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2021, with growth of 153.1%; the weakest was Q2 2024, with a decline of 8.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $9.86 million (Q4 2024), $9.34 million (Q3 2024) and $8.62 million (Q2 2024).
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 |
|---|---|
| Mar 31, 2025 | 12.29 Mn |
| Dec 31, 2024 | 9.86 Mn |
| Sep 30, 2024 | 9.34 Mn |
| Jun 30, 2024 | 8.62 Mn |
| Mar 31, 2024 | 9.01 Mn |
| Dec 31, 2023 | 7.73 Mn |
| Sep 30, 2023 | 6.89 Mn |
| Jun 30, 2023 | 9.43 Mn |
| Mar 31, 2023 | 8.29 Mn |
| Dec 31, 2022 | 5.76 Mn |
| Sep 30, 2022 | 5.48 Mn |
| Jun 30, 2022 | 5.37 Mn |
| Mar 31, 2022 | 4.77 Mn |
| Dec 31, 2021 | 5.44 Mn |
| Sep 30, 2021 | 4.77 Mn |
| Jun 30, 2021 | 4.40 Mn |
| Mar 31, 2021 | 3.75 Mn |
| Dec 31, 2020 | 3.39 Mn |
| Sep 30, 2020 | 2.63 Mn |
| Jun 30, 2020 | 1.97 Mn |
API Access
Dynaresource Accumulated 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=accumulated-expenses&ticker=DYNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DYNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();