Eldorado Gold (EGO) Restructuring Costs (2012 - 2026)
Eldorado Gold (EGO) recorded Restructuring Costs of $11.47 million in the quarter ended Jun 30, 2026, up 49.0% from the prior quarter.
Eldorado Gold (EGO) Restructuring Costs (2012 - 2026) Analysis & Trends
On a TTM basis, Eldorado Gold's Restructuring Costs came in at $19.17 million as of Jun 30, 2026; for the year ended Dec 31, 2019, it was $1.10.
- Across earlier years, Restructuring Costs came in at -$2.3 million in the year ended Dec 31, 2018 and $4.27 million in the year ended Dec 31, 2017.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Restructuring Costs since the quarter ended Mar 31, 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | Eldorado Gold | 7.83 Bn | 4.58 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.47 Mn |
| Mar 31, 2026 | 7.70 Mn |
| Jun 30, 2019 | 1.10 |
| Dec 31, 2018 | 2.30 Mn |
| Sep 30, 2018 | -49,000.00 |
| Jun 30, 2018 | -2.25 Mn |
| Dec 31, 2017 | 5,000.00 |
| Sep 30, 2017 | 4.27 Mn |
| Dec 31, 2012 | 1.24 Mn |
| Sep 30, 2012 | 552,000.00 |
| Jun 30, 2012 | 1.65 Mn |
| Mar 31, 2012 | 17.80 Mn |
Eldorado Gold Restructuring Costs 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=restructuring-costs&ticker=EGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=EGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();