Wheaton Precious Metals (WPM) EBITDA (2009 - 2026)
Wheaton Precious Metals (WPM) posted EBITDA of $789.87 million for Q2 2026, up 95.0% from $405.02 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Wheaton Precious Metals (WPM) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Wheaton Precious Metals was $2.63 billion, up 120.8% year-over-year; for FY2025, it was $1.89 billion, up 117.1% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- In prior years, Wheaton Precious Metals' EBITDA was $869.14 million in FY2024 (+20.5%), $721.2 million in FY2023 (-3.3%), $745.44 million in FY2022 (-26.3%) and $1.01 billion in FY2021 (+32.1%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased in each of the last six quarters, with growth averaging 89.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2025, with growth of 278.4%; the weakest was Q4 2022, with a decline of 56.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $752.08 million (Q1 2026), $706.96 million (Q4 2025) and $381.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 187.99 Bn | 130.51 Bn | - | 2.71 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 | - | 2.03 Bn |
| 6 | Brookfield Asset Management | 85.12 Bn | 79.93 Bn | - | 1.40 Bn |
| 7 | Apollo Global Management | 73.65 Bn | -12.51 Bn | 4.14 Bn | -848.00 Mn |
| 8 | Wheaton Precious Metals | 63.02 Bn | 59.95 Bn | 687.86 Mn | 789.87 Mn |
| 9 | Franco Nevada | 49.29 Bn | 45.99 Bn | 451.00 Mn | 529.70 Mn |
| 10 | Ameriprise Financial | 46.94 Bn | 8.84 Bn | 4.89 Bn | 1.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 789.87 Mn |
| Mar 31, 2026 | 752.08 Mn |
| Dec 31, 2025 | 706.96 Mn |
| Sep 30, 2025 | 381.78 Mn |
| Jun 30, 2025 | 405.02 Mn |
| Mar 31, 2025 | 367.68 Mn |
| Dec 31, 2024 | 186.81 Mn |
| Sep 30, 2024 | 231.83 Mn |
| Jun 30, 2024 | 228.22 Mn |
| Mar 31, 2024 | 222.27 Mn |
| Dec 31, 2023 | 228.10 Mn |
| Sep 30, 2023 | 159.00 Mn |
| Jun 30, 2023 | 190.07 Mn |
| Mar 31, 2023 | 144.02 Mn |
| Dec 31, 2022 | 153.22 Mn |
| Sep 30, 2022 | 158.77 Mn |
| Jun 30, 2022 | 215.92 Mn |
| Mar 31, 2022 | 217.53 Mn |
| Dec 31, 2021 | 350.25 Mn |
| Sep 30, 2021 | 193.30 Mn |
API Access
Wheaton Precious Metals EBITDA 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=ebitda&ticker=WPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();