Wheaton Precious Metals (WPM) EV to EBITDA (2009 - 2026)
Wheaton Precious Metals' (WPM) EV to EBITDA was 19.35 for the quarter ended Jun 30, 2026, down 42.0% from 33.35 a year earlier and down 24.2% from the prior quarter.
Wheaton Precious Metals (WPM) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wheaton Precious Metals' EV to EBITDA came in at 17.65, down 43.4% year-over-year; for the year ended Dec 31, 2025, it came in at 56.40, up 98.5% from the prior year.
- By year, EV to EBITDA came in at 28.42 in the year ended Dec 31, 2024 (-6.0%), 30.24 in the year ended Dec 31, 2023 (+32.7%), 22.78 in the year ended Dec 31, 2022 (+20.4%) and 18.92 in the year ended Dec 31, 2021 (-22.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly EV to EBITDA since the quarter ended Sep 30, 2022.
- Year over year, EV to EBITDA has now declined in each of the last three quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was the quarter ended Sep 30, 2023 (growth of 81.1%); the low point was the quarter ended Jun 30, 2026 (a decline of 42.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 25.52 (quarter ended Mar 31, 2026), 28.05 (quarter ended Dec 31, 2025) and 36.97 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn |
| 10 | Ameriprise Financial | 43.81 Bn | 5.23 Bn | 4.72 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.35 |
| Mar 31, 2026 | 25.52 |
| Dec 31, 2025 | 28.05 |
| Sep 30, 2025 | 36.97 |
| Jun 30, 2025 | 33.35 |
| Mar 31, 2025 | 33.64 |
| Dec 31, 2024 | 28.42 |
| Sep 30, 2024 | 29.63 |
| Jun 30, 2024 | 27.71 |
| Mar 31, 2024 | 26.33 |
| Dec 31, 2023 | 30.24 |
| Sep 30, 2023 | 27.09 |
| Jun 30, 2023 | 28.98 |
| Mar 31, 2023 | 31.23 |
| Dec 31, 2022 | 22.78 |
| Sep 30, 2022 | 14.96 |
| Jun 30, 2022 | 16.17 |
| Mar 31, 2022 | 21.18 |
| Dec 31, 2021 | 18.91 |
| Sep 30, 2021 | 18.90 |
Wheaton Precious Metals EV to 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=ev-to-ebitda&ticker=WPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=WPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();