Sprott (SII) EBITDA (2020 - 2026)
Sprott (SII) posted EBITDA of $47.19 million for the quarter ended Jun 30, 2026, up 138.6% from $19.78 million a year earlier but down 19.8% from the prior quarter.
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Analysis
Sprott (SII) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Sprott was $182.07 million; for the year ended Dec 31, 2025, it was $94.06 million.
- In prior years, Sprott's EBITDA was -$38.78 million in the year ended Dec 31, 2024, -$55.91 million in the year ended Dec 31, 2023, -$81.75 million in the year ended Dec 31, 2022 and -$89.7 million in the year ended Dec 31, 2021.
- Quarterly EBITDA has run from a low of -$129.98 million in the quarter ended Mar 31, 2022 to a high of $58.88 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, EBITDA increased in five of the last six quarters, with growth averaging 58.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Jun 30, 2023, with growth of 412.5%; the weakest was the quarter ended Sep 30, 2021, with a decline of 91.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $58.88 million (quarter ended Mar 31, 2026), $43.18 million (quarter ended Dec 31, 2025) and $32.82 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 2.85 Bn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | - |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | -7.76 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 2.03 Bn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 1.40 Bn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 2.23 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 789.87 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 529.70 Mn |
| 10 | Sprott | 3.08 Bn | 2.51 Bn | - | 47.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.19 Mn |
| Mar 31, 2026 | 58.88 Mn |
| Dec 31, 2025 | 43.18 Mn |
| Sep 30, 2025 | 32.82 Mn |
| Jun 30, 2025 | 19.78 Mn |
| Mar 31, 2025 | 22.72 Mn |
| Dec 31, 2024 | -89.53 Mn |
| Sep 30, 2024 | 22.11 Mn |
| Jun 30, 2024 | 23.66 Mn |
| Mar 31, 2024 | 21.13 Mn |
| Dec 31, 2023 | -92.84 Mn |
| Sep 30, 2023 | 19.47 Mn |
| Jun 30, 2023 | 19.79 Mn |
| Mar 31, 2023 | -128.39 Mn |
| Dec 31, 2022 | -92.70 Mn |
| Sep 30, 2022 | 5.39 Mn |
| Jun 30, 2022 | 3.86 Mn |
| Mar 31, 2022 | -129.98 Mn |
| Dec 31, 2021 | -120.53 Mn |
| Sep 30, 2021 | 12.71 Mn |
API Access
Sprott 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=SII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SII", "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=SII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();