Seabridge Gold (SA) Accumulated Expenses (2013 - 2025)
Seabridge Gold (SA) recorded Accumulated Expenses of $12.6 million in Q4 2025, up 56.0% from $8.08 million a year earlier.
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Analysis
Seabridge Gold (SA) Accumulated Expenses (2013 - 2025) Analysis & Trends
At the end of FY2025, Seabridge Gold reported Accumulated Expenses of $12.57 million, up 52.6% from FY2024.
- Annual Accumulated Expenses has a three-year compound annual growth rate of -27.5% (FY2022 to FY2025).
- Across earlier years, Accumulated Expenses came in at $8.24 million in FY2024 (-66.0%), $24.26 million in FY2023 (-26.6%) and $33.04 million in FY2022.
- The Q4 2025 figure is the highest quarterly Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Seabridge Gold | 2.60 Bn | 2.60 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.60 Mn |
| Dec 31, 2024 | 8.08 Mn |
| Dec 31, 2023 | 24.04 Mn |
| Jun 30, 2023 | 46.19 Mn |
| Dec 31, 2022 | 31.65 Mn |
| Sep 30, 2022 | 23.00 Mn |
| Sep 30, 2020 | 1.64 Mn |
| Jun 30, 2020 | 1.65 Mn |
| Mar 31, 2020 | 1.67 Mn |
| Dec 31, 2019 | 1.85 Mn |
| Sep 30, 2019 | 3.16 Mn |
| Jun 30, 2019 | 2.05 Mn |
| Mar 31, 2019 | 1.81 Mn |
| Dec 31, 2018 | 1.73 Mn |
| Sep 30, 2018 | 2.10 Mn |
| Jun 30, 2018 | 1.99 Mn |
| Mar 31, 2018 | 1.85 Mn |
| Dec 31, 2017 | 1.66 Mn |
| Sep 30, 2017 | 1.66 Mn |
| Jun 30, 2017 | 1.61 Mn |
API Access
Seabridge Gold 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=accumulated-expenses&ticker=SA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();