Wheaton Precious Metals (WPM) Total Liabilities (2009 - 2026)
Wheaton Precious Metals (WPM) posted Total Liabilities of $2.47 billion for Q2 2026, up 862.6% from $256.68 million a year earlier and up 309.8% from the prior quarter.
Wheaton Precious Metals (WPM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Wheaton Precious Metals' Total Liabilities came in at $435.27 million, up 163.7% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In prior years, Wheaton Precious Metals' Total Liabilities was $165.08 million in FY2024 (+261.5%), $45.67 million in FY2023 (+8.1%), $42.23 million in FY2022 (-8.3%) and $46.03 million in FY2021 (-81.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 11 quarters, with growth averaging 270.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 862.6%; the weakest was Q3 2021, with a decline of 92.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $602.92 million (Q1 2026), $435.27 million (Q4 2025) and $326.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 187.99 Bn | 130.51 Bn | - | 113.97 Bn |
| 2 | Spdr Gold Trust | 134.28 Bn | -423.72 Bn | - | 45.42 Mn |
| 3 | Blackstone | 97.79 Bn | 87.77 Bn | - | 28.83 Bn |
| 4 | Brookfield | 95.78 Bn | -82.50 Bn | - | 358.88 Bn |
| 5 | Kkr | 88.02 Bn | 8.17 Bn | - | 337.08 Bn |
| 6 | Brookfield Asset Management | 85.12 Bn | 79.93 Bn | - | 10.89 Bn |
| 7 | Apollo Global Management | 73.65 Bn | -12.51 Bn | 4.14 Bn | 462.18 Bn |
| 8 | Wheaton Precious Metals | 63.02 Bn | 59.95 Bn | 687.86 Mn | 2.47 Bn |
| 9 | Franco Nevada | 49.29 Bn | 45.99 Bn | 451.00 Mn | 681.50 Mn |
| 10 | Ameriprise Financial | 46.94 Bn | 8.84 Bn | 4.89 Bn | 186.24 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.47 Bn |
| Mar 31, 2026 | 602.92 Mn |
| Dec 31, 2025 | 435.27 Mn |
| Sep 30, 2025 | 326.76 Mn |
| Jun 30, 2025 | 256.68 Mn |
| Mar 31, 2025 | 273.16 Mn |
| Dec 31, 2024 | 165.08 Mn |
| Sep 30, 2024 | 126.17 Mn |
| Jun 30, 2024 | 87.41 Mn |
| Mar 31, 2024 | 101.26 Mn |
| Dec 31, 2023 | 45.67 Mn |
| Sep 30, 2023 | 38.25 Mn |
| Jun 30, 2023 | 33.49 Mn |
| Mar 31, 2023 | 93.03 Mn |
| Dec 31, 2022 | 42.23 Mn |
| Sep 30, 2022 | 38.78 Mn |
| Jun 30, 2022 | 31.89 Mn |
| Mar 31, 2022 | 120.57 Mn |
| Dec 31, 2021 | 46.03 Mn |
| Sep 30, 2021 | 42.39 Mn |
Wheaton Precious Metals 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=WPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "WPM", "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=WPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();