Agnico Eagle Mines (AEM) Change in Accured Expenses (2009 - 2026)
Agnico Eagle Mines' Change in Accured Expenses came in at -$106.54 million for the quarter ended Jun 30, 2026, compared with -$126.51 million a year earlier.
Agnico Eagle Mines (AEM) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Agnico Eagle Mines reported Change in Accured Expenses of $93.11 million; for the year ended Dec 31, 2025, it came in at $122.64 million, up 340.7% from the prior year.
- Change in Accured Expenses carries a five-year compound annual growth rate of 8.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Change in Accured Expenses was $27.83 million in the year ended Dec 31, 2024 (+901.8%), $2.78 million in the year ended Dec 31, 2023 (-95.3%), $59.46 million in the year ended Dec 31, 2022 and -$75,000 in the year ended Dec 31, 2021.
- The five-year range for quarterly Change in Accured Expenses is -$126.51 million (the quarter ended Jun 30, 2025) to $118.51 million (the quarter ended Dec 31, 2025).
- Business Quant data shows AEM's Change in Accured Expenses at $77.8 million (quarter ended Mar 31, 2026), $118.51 million (quarter ended Dec 31, 2025) and $3.34 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - | - |
| 2 | Southern Copper | 154.01 Bn | 132.80 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Rio Tinto | 135.92 Bn | 96.42 Bn | - | - |
| 4 | Newmont | 114.74 Bn | 79.88 Bn | 4.22 Bn | 165.00 Mn |
| 5 | Freeport-Mcmoran | 94.35 Bn | 78.39 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 87.50 Bn | 77.14 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 65.29 Bn | 40.49 Bn | 2.90 Bn | - |
| 8 | Nucor | 59.54 Bn | 48.92 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 45.52 Bn | 24.55 Bn | - | - |
| 10 | AngloGold Ashanti | 42.56 Bn | 30.45 Bn | 1.70 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -106.54 Mn |
| Mar 31, 2026 | 77.80 Mn |
| Dec 31, 2025 | 321.53 Mn |
| Sep 30, 2025 | -122.30 Mn |
| Jun 30, 2025 | -126.51 Mn |
| Mar 31, 2025 | -50.71 Mn |
| Dec 31, 2024 | 102.45 Mn |
| Sep 30, 2024 | -80.70 Mn |
| Jun 30, 2024 | -47.91 Mn |
| Mar 31, 2024 | 53.99 Mn |
| Dec 31, 2023 | -48.65 Mn |
| Sep 30, 2023 | -49.43 Mn |
| Jun 30, 2023 | 108.13 Mn |
| Mar 31, 2023 | -7.27 Mn |
| Dec 31, 2022 | -38.49 Mn |
| Sep 30, 2022 | 72.91 Mn |
| Jun 30, 2022 | 32.69 Mn |
| Mar 31, 2022 | -7.64 Mn |
| Dec 31, 2021 | -108.73 Mn |
| Sep 30, 2021 | 43.34 Mn |
Agnico Eagle Mines 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=AEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "AEM", "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=AEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();