Centerra Gold (CGAU) Change in Accured Expenses (2022 - 2026)
Centerra Gold's Change in Accured Expenses came in at $3.97 million for the quarter ended Mar 31, 2026, down 33.2% from $5.94 million a year earlier and down 89.7% from the prior quarter.
Centerra Gold (CGAU) Change in Accured Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Centerra Gold reported Change in Accured Expenses of $114.49 million, up 222.9% year-over-year; for the year ended Dec 31, 2025, it was $117.2 million, up 334.8% from the prior year.
- Going back by year, Change in Accured Expenses was $26.96 million in the year ended Dec 31, 2024 and -$8.58 million in the year ended Dec 31, 2023.
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Change in Accured Expenses since the quarter ended Jun 30, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | -166.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | - |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Centerra Gold | 4.29 Bn | 2.18 Bn | 191.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.97 Mn |
| Dec 31, 2025 | 38.48 Mn |
| Sep 30, 2025 | 66.11 Mn |
| Mar 31, 2025 | 5.94 Mn |
| Dec 31, 2024 | 22.15 Mn |
| Sep 30, 2024 | 3.99 Mn |
| Jun 30, 2024 | 3.38 Mn |
| Mar 31, 2024 | -2.57 Mn |
| Dec 31, 2023 | -8.58 Mn |
| Sep 30, 2023 | 29.98 Mn |
| Jun 30, 2023 | -16.91 Mn |
| Mar 31, 2023 | -50.40 Mn |
| Dec 31, 2022 | 30.96 Mn |
Centerra Gold Change in Accured 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=change-in-accured-expenses&ticker=CGAU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CGAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();