Pan American Silver (PAAS) Total Debt (2012 - 2026)
Pan American Silver's Total Debt was $3 million in the quarter ended Jun 30, 2026, down 99.6% from $704.2 million a year earlier and down 62.5% from the prior quarter.
Pan American Silver (PAAS) Total Debt (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Debt at Pan American Silver came in at $5 million, down 21.8% from the prior year.
- In earlier years, Total Debt was $6.39 million in the year ended Dec 31, 2024, -$14.6 million in the year ended Dec 31, 2023, -$291.6 million in the year ended Dec 31, 2022 and $11.9 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Total Debt since the quarter ended Dec 31, 2023.
- Compared with a year earlier, Total Debt has declined for three straight quarters, with an average decline of 31.2% over the last seven quarters.
- The best year-over-year quarter for Total Debt over five years was the quarter ended Sep 30, 2025 (growth of 0.9%); the worst was the quarter ended Jun 30, 2026 (a decline of 99.6%).
- Per Business Quant data, PAAS's Total Debt in the three quarters before the quarter ended Jun 30, 2026 was $8 million (quarter ended Mar 31, 2026), $5 million (quarter ended Dec 31, 2025) and $707 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | -401.00 Mn |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 7.99 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 5.08 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 9.39 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 196.83 Mn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 15.00 Mn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 7.10 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 23.45 Bn |
| 10 | Pan American Silver | 19.47 Bn | 14.32 Bn | 457,000.00 | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 8.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 707.00 Mn |
| Jun 30, 2025 | 704.20 Mn |
| Mar 31, 2025 | 702.81 Mn |
| Dec 31, 2024 | 6.39 Mn |
| Sep 30, 2024 | 700.70 Mn |
| Jun 30, 2024 | 699.50 Mn |
| Mar 31, 2024 | 698.20 Mn |
| Dec 31, 2023 | -14.60 Mn |
| Sep 30, 2023 | 704.90 Mn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | -943.10 Mn |
| Dec 31, 2022 | -291.60 Mn |
| Sep 30, 2022 | 795.80 Mn |
| Jun 30, 2022 | 23.33 Mn |
| Mar 31, 2022 | 11.05 Mn |
| Dec 31, 2021 | 11.90 Mn |
| Sep 30, 2021 | -485.27 Mn |
Pan American Silver Total Debt 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-debt&ticker=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "PAAS", "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-debt&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();