Centerra Gold (CGAU) Other Accumulated Expenses (2020 - 2026)
Centerra Gold (CGAU) recorded Other Accumulated Expenses of $35.67 million in the quarter ended Jun 30, 2026, up 68.7% from $21.15 million a year earlier and up 36.9% from the prior quarter.
Centerra Gold (CGAU) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Centerra Gold reported Other Accumulated Expenses of $31.98 million, up 65.3% from the prior year.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 9.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $19.35 million in the year ended Dec 31, 2024 (-62.7%), $51.81 million in the year ended Dec 31, 2023 (-29.5%), $73.53 million in the year ended Dec 31, 2022 (+381.2%) and $15.28 million in the year ended Dec 31, 2021 (-25.1%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Other Accumulated Expenses since the quarter ended Jun 30, 2023.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 56.3% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 391.9% in the quarter ended Dec 31, 2024, against a decline of 94.7% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.07 million (quarter ended Mar 31, 2026), $31.98 million (quarter ended Dec 31, 2025) and $14.73 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Centerra Gold | 4.29 Bn | 2.18 Bn | 191.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.67 Mn |
| Mar 31, 2026 | 26.07 Mn |
| Dec 31, 2025 | 31.98 Mn |
| Sep 30, 2025 | 14.73 Mn |
| Jun 30, 2025 | 21.15 Mn |
| Mar 31, 2025 | 16.90 Mn |
| Dec 31, 2024 | 19.35 Mn |
| Sep 30, 2024 | 25.44 Mn |
| Jun 30, 2024 | 30.42 Mn |
| Mar 31, 2024 | 28.89 Mn |
| Dec 31, 2023 | 3.93 Mn |
| Sep 30, 2023 | 30.22 Mn |
| Jun 30, 2023 | 59.00 Mn |
| Mar 31, 2023 | 54.90 Mn |
| Dec 31, 2022 | 73.53 Mn |
| Sep 30, 2022 | 65.48 Mn |
| Jun 30, 2022 | 17.62 Mn |
| Mar 31, 2022 | 23.45 Mn |
| Dec 31, 2021 | 15.28 Mn |
| Sep 30, 2021 | 16.64 Mn |
Centerra Gold Other 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=other-accumulated-expenses&ticker=CGAU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CGAU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=CGAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();