Pan American Silver (PAAS) Receivables - Net (2009 - 2026)
Pan American Silver (PAAS) recorded Receivables - Net of $222 million in the quarter ended Jun 30, 2026, up 38.2% from $160.6 million a year earlier and up 4.7% from the prior quarter.
Pan American Silver (PAAS) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Pan American Silver reported Receivables - Net of $232 million, up 40.6% from the prior year.
- Annual Receivables - Net has increased for five straight years, with a five-year compound annual growth rate of 12.7% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables - Net came in at $165 million in the year ended Dec 31, 2024 (+19.6%), $138 million in the year ended Dec 31, 2023 (+1.0%), $136.6 million in the year ended Dec 31, 2022 (+6.6%) and $128.15 million in the year ended Dec 31, 2021 (+0.3%).
- Quarterly Receivables - Net has ranged from $20.4 million in the quarter ended Mar 31, 2023 to $232 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for eight consecutive quarters, with growth averaging 22.7% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 632.8% in the quarter ended Mar 31, 2024, against a decline of 85.4% in the quarter ended Mar 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $212 million (quarter ended Mar 31, 2026), $232 million (quarter ended Dec 31, 2025) and $206.7 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - |
| 10 | Pan American Silver | 19.47 Bn | 14.32 Bn | 457,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 222.00 Mn |
| Mar 31, 2026 | 212.00 Mn |
| Dec 31, 2025 | 232.00 Mn |
| Sep 30, 2025 | 206.70 Mn |
| Jun 30, 2025 | 160.60 Mn |
| Mar 31, 2025 | 171.80 Mn |
| Dec 31, 2024 | 165.00 Mn |
| Sep 30, 2024 | 150.50 Mn |
| Jun 30, 2024 | 149.50 Mn |
| Mar 31, 2024 | 149.50 Mn |
| Dec 31, 2023 | 138.00 Mn |
| Sep 30, 2023 | 150.00 Mn |
| Jun 30, 2023 | 156.30 Mn |
| Mar 31, 2023 | 20.40 Mn |
| Dec 31, 2022 | 136.60 Mn |
| Sep 30, 2022 | 113.81 Mn |
| Jun 30, 2022 | 135.23 Mn |
| Mar 31, 2022 | 139.51 Mn |
| Dec 31, 2021 | 128.15 Mn |
| Sep 30, 2021 | 128.61 Mn |
Pan American Silver Receivables - Net 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=receivables-net&ticker=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();