Seabridge Gold (SA) Total Liabilities (2009 - 2026)
Seabridge Gold (SA) posted Total Liabilities of $465.32 million for Q2 2026, up 3.1% from $451.3 million a year earlier and up 6.9% from the prior quarter.
Seabridge Gold (SA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Seabridge Gold's Total Liabilities came in at $460.12 million, down 44.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 79.5% (FY2020 to FY2025).
- In prior years, Seabridge Gold's Total Liabilities was $833.86 million in FY2024 (+889.8%), $84.25 million in FY2023 (-69.2%), $273.12 million in FY2022 (+653.8%) and $36.23 million in FY2021 (+46.7%).
- Quarterly Total Liabilities has run from a low of $36.02 million in Q4 2021 to a high of $1.18 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 127.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 885.3%; the weakest was Q4 2023, with a decline of 68.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $435.38 million (Q1 2026), $461 million (Q4 2025) and $1.18 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 42.33 Bn |
| 10 | Seabridge Gold | 2.62 Bn | 2.62 Bn | - | 465.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 465.32 Mn |
| Mar 31, 2026 | 435.38 Mn |
| Dec 31, 2025 | 461.00 Mn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 451.30 Mn |
| Mar 31, 2025 | 419.15 Mn |
| Dec 31, 2024 | 817.25 Mn |
| Sep 30, 2024 | 414.08 Mn |
| Jun 30, 2024 | 410.44 Mn |
| Mar 31, 2024 | 463.18 Mn |
| Dec 31, 2023 | 83.49 Mn |
| Sep 30, 2023 | 440.96 Mn |
| Jun 30, 2023 | 419.91 Mn |
| Mar 31, 2023 | 274.19 Mn |
| Dec 31, 2022 | 261.59 Mn |
| Sep 30, 2022 | 253.92 Mn |
| Jun 30, 2022 | 246.09 Mn |
| Mar 31, 2022 | 253.93 Mn |
| Dec 31, 2021 | 36.02 Mn |
| Sep 30, 2021 | 38.28 Mn |
Seabridge Gold Total Liabilities 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=total-liabilities&ticker=SA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();