Sprott Physical Gold & Silver Trust (CEF) Operating Expenses (2018 - 2026)
Sprott Physical Gold & Silver Trust's Operating Expenses came in at $11.34 million for the quarter ended Jun 30, 2026, up 59.4% from $7.12 million a year earlier but down 0.1% from the prior quarter.
Sprott Physical Gold & Silver Trust (CEF) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sprott Physical Gold & Silver Trust reported Operating Expenses of $9.16 million, up 228.8% year-over-year; for the year ended Dec 31, 2025, it came in at $150.00, up 36.4% from the prior year.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 10.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Expenses was $110.00 in the year ended Dec 31, 2024 (+10.0%), $100.00 in the year ended Dec 31, 2023 (+11.1%), $90.00 in the year ended Dec 31, 2022 (-10.0%) and $100.00 in the year ended Dec 31, 2021 (+11.1%).
- The five-year range for quarterly Operating Expenses is -$21.24 million (the quarter ended Dec 31, 2025) to $11.35 million (the quarter ended Mar 31, 2026).
- The fastest year-over-year change in Operating Expenses over five years came in the quarter ended Mar 31, 2026 (growth of 76.9%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 12.4%).
- Business Quant data shows CEF's Operating Expenses at $11.35 million (quarter ended Mar 31, 2026), -$21.24 million (quarter ended Dec 31, 2025) and $7.71 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bhp | 208.88 Bn | 152.06 Bn | - | - |
| 2 | Citigroup | 208.60 Bn | 208.60 Bn | - | 13.95 Bn |
| 3 | Bank Of Nova Scotia | 116.68 Bn | -315.77 Bn | - | 3.98 Bn |
| 4 | Nokia | 48.04 Bn | 48.04 Bn | 2.58 Bn | 2.56 Bn |
| 5 | Haleon | 45.34 Bn | 38.96 Bn | - | - |
| 6 | Gold Fields | 31.77 Bn | 28.45 Bn | - | - |
| 7 | Smith & Nephew | 26.00 Bn | 23.40 Bn | - | 1.56 Bn |
| 8 | Sprott Physical Gold Trust | 14.02 Bn | 13.88 Bn | - | 30.00 |
| 9 | Magnum Ice Cream | 11.78 Bn | 10.42 Bn | - | - |
| 10 | Sprott Physical Gold & Silver Trust | 7.61 Bn | 7.55 Bn | - | 60.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.00 |
| Mar 31, 2026 | 60.00 |
| Dec 31, 2025 | 40.00 |
| Sep 30, 2025 | 40.00 |
| Jun 30, 2025 | 40.00 |
| Mar 31, 2025 | 30.00 |
| Dec 31, 2024 | 30.00 |
| Sep 30, 2024 | 30.00 |
| Jun 30, 2024 | 30.00 |
| Mar 31, 2024 | 20.00 |
| Dec 31, 2023 | 30.00 |
| Sep 30, 2023 | 20.00 |
| Jun 30, 2023 | 30.00 |
| Mar 31, 2023 | 20.00 |
| Dec 31, 2022 | 20.00 |
| Sep 30, 2022 | 4.58 Mn |
| Jun 30, 2022 | 4.97 Mn |
| Mar 31, 2022 | 20.00 |
| Dec 31, 2021 | -15.80 Mn |
| Sep 30, 2021 | 5.23 Mn |
Sprott Physical Gold & Silver Trust Operating Expenses 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=operating-expenses&ticker=CEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CEF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();