Eldorado Gold (EGO) Operating Expenses (2009 - 2026)
Eldorado Gold (EGO) recorded Operating Expenses of $38.57 million in the quarter ended Jun 30, 2026, up 116.0% from $17.86 million a year earlier and up 36.9% from the prior quarter.
Eldorado Gold (EGO) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Eldorado Gold's Operating Expenses came in at $110.09 million as of Jun 30, 2026, up 68.4% year-over-year; for the year ended Dec 31, 2025, it came in at -$4.04 million.
- Across earlier years, Operating Expenses came in at -$4.99 million in the year ended Dec 31, 2024, -$4.41 million in the year ended Dec 31, 2023, -$2.8 million in the year ended Dec 31, 2022 and $4.05 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Expenses since the quarter ended Mar 31, 2012.
- On a year-over-year basis, Operating Expenses has increased for eight consecutive quarters, with growth averaging 39.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 234.0% in the quarter ended Dec 31, 2022, against a decline of 100.0% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.17 million (quarter ended Mar 31, 2026), $23.59 million (quarter ended Dec 31, 2025) and $19.76 million (quarter ended Sep 30, 2025).
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 | Eldorado Gold | 7.83 Bn | 4.58 Bn | - | 38.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.57 Mn |
| Mar 31, 2026 | 28.17 Mn |
| Dec 31, 2025 | 23.59 Mn |
| Sep 30, 2025 | 19.76 Mn |
| Jun 30, 2025 | 17.86 Mn |
| Mar 31, 2025 | 15.07 Mn |
| Dec 31, 2024 | 16.86 Mn |
| Sep 30, 2024 | 15.59 Mn |
| Jun 30, 2024 | 13.65 Mn |
| Mar 31, 2024 | 13.93 Mn |
| Dec 31, 2023 | 16.20 Mn |
| Sep 30, 2023 | 15.58 Mn |
| Jun 30, 2023 | 14.00 Mn |
| Mar 31, 2023 | 16.44 Mn |
| Dec 31, 2022 | 20.73 Mn |
| Sep 30, 2022 | 11.02 Mn |
| Jun 30, 2022 | 11.91 Mn |
| Mar 31, 2022 | 103.30 |
| Dec 31, 2021 | 6.21 Mn |
| Sep 30, 2021 | -118,000.00 |
Eldorado Gold 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=EGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EGO", "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=EGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();