Wheaton Precious Metals (WPM) Total Current Liabilities (2009 - 2026)
Wheaton Precious Metals (WPM) reported Total Current Liabilities of $279.31 million for Q2 2026, up 100.8% from $139.13 million a year earlier but down 42.1% from the prior quarter.
Wheaton Precious Metals (WPM) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Wheaton Precious Metals posted Total Current Liabilities of $154.69 million, up 424.3% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $29.5 million in FY2024 (+13.2%), $26.08 million in FY2023 (-15.1%), $30.72 million in FY2022 (+3.5%) and $29.69 million in FY2021 (-4.7%).
- Five-year quarterly Total Current Liabilities spans a low of $18.88 million in Q2 2023 and a high of $482.35 million in Q1 2026.
- Year over year, Total Current Liabilities has now increased in each of the last ten quarters, with growth averaging 247.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2025 (growth of 568.7%); the low point was Q1 2023 (a decline of 23.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $482.35 million (Q1 2026), $154.69 million (Q4 2025) and $148.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 187.99 Bn | 130.51 Bn | - | - |
| 2 | Spdr Gold Trust | 134.28 Bn | -423.72 Bn | - | - |
| 3 | Blackstone | 97.79 Bn | 87.77 Bn | - | - |
| 4 | Brookfield | 95.78 Bn | -82.50 Bn | - | - |
| 5 | Kkr | 88.02 Bn | 8.17 Bn | - | - |
| 6 | Brookfield Asset Management | 85.12 Bn | 79.93 Bn | - | - |
| 7 | Apollo Global Management | 73.65 Bn | -12.51 Bn | 4.14 Bn | - |
| 8 | Wheaton Precious Metals | 63.02 Bn | 59.95 Bn | 687.86 Mn | 279.31 Mn |
| 9 | Franco Nevada | 49.29 Bn | 45.99 Bn | 451.00 Mn | 148.00 Mn |
| 10 | Ameriprise Financial | 46.94 Bn | 8.84 Bn | 4.89 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 279.31 Mn |
| Mar 31, 2026 | 482.35 Mn |
| Dec 31, 2025 | 154.69 Mn |
| Sep 30, 2025 | 148.74 Mn |
| Jun 30, 2025 | 139.13 Mn |
| Mar 31, 2025 | 96.45 Mn |
| Dec 31, 2024 | 29.50 Mn |
| Sep 30, 2024 | 27.61 Mn |
| Jun 30, 2024 | 20.81 Mn |
| Mar 31, 2024 | 87.96 Mn |
| Dec 31, 2023 | 26.08 Mn |
| Sep 30, 2023 | 21.99 Mn |
| Jun 30, 2023 | 18.88 Mn |
| Mar 31, 2023 | 85.52 Mn |
| Dec 31, 2022 | 30.72 Mn |
| Sep 30, 2022 | 28.65 Mn |
| Jun 30, 2022 | 22.46 Mn |
| Mar 31, 2022 | 111.94 Mn |
| Dec 31, 2021 | 29.69 Mn |
| Sep 30, 2021 | 28.82 Mn |
Wheaton Precious Metals Total Current 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-current-liabilities&ticker=WPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=WPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();