Fortuna Mining (FSM) Total Liabilities (2010 - 2026)
Fortuna Mining's Total Liabilities came in at $678.36 million for the quarter ended Jun 30, 2026, up 13.8% from $595.87 million a year earlier and up 4.0% from the prior quarter.
Fortuna Mining (FSM) Total Liabilities (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, Fortuna Mining's Total Liabilities was $625.32 million, down 3.7% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 13.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $649.46 million in the year ended Dec 31, 2024 (-4.5%), $679.74 million in the year ended Dec 31, 2023 (+15.7%), $587.53 million in the year ended Dec 31, 2022 (-0.8%) and $592.35 million in the year ended Dec 31, 2021 (+79.7%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Liabilities since the quarter ended Dec 31, 2023.
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 1.6%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Jun 30, 2022 (growth of 94.4%), and the weakest in the quarter ended Sep 30, 2024 (a decline of 9.2%).
- Business Quant data shows FSM's Total Liabilities at $652.34 million (quarter ended Mar 31, 2026), $625.32 million (quarter ended Dec 31, 2025) and $569.64 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) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 163.44 Bn | 142.23 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.96 Bn | 102.46 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.67 Bn | 92.67 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 97.07 Bn | 81.11 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.86 Bn | 83.49 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.89 Bn | 44.08 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 58.02 Bn | 47.41 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 47.30 Bn | 26.32 Bn | - | 44.33 Bn |
| 10 | Fortuna Mining | 3.23 Bn | 964.89 Mn | 183.46 Mn | 730.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 730.31 Mn |
| Mar 31, 2026 | 719.56 Mn |
| Dec 31, 2025 | 625.32 Mn |
| Sep 30, 2025 | 622.00 Mn |
| Jun 30, 2025 | 643.62 Mn |
| Mar 31, 2025 | 726.35 Mn |
| Dec 31, 2024 | 649.46 Mn |
| Sep 30, 2024 | 663.18 Mn |
| Jun 30, 2024 | 689.92 Mn |
| Mar 31, 2024 | 686.53 Mn |
| Dec 31, 2023 | 679.74 Mn |
| Sep 30, 2023 | 712.99 Mn |
| Jun 30, 2023 | 731.27 Mn |
| Mar 31, 2023 | 690.76 Mn |
| Dec 31, 2022 | 587.53 Mn |
| Sep 30, 2022 | 644.36 Mn |
| Jun 30, 2022 | 662.52 Mn |
| Mar 31, 2022 | 659.58 Mn |
| Dec 31, 2021 | 592.35 Mn |
| Sep 30, 2021 | 641.78 Mn |
Fortuna Mining 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=FSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FSM", "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=FSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();