iShares Silver Trust (SLV) Operating Expenses (2009 - 2026)
iShares Silver Trust's Operating Expenses came in at $44.44 million for Q2 2026, up 131.6% from $19.19 million a year earlier but down 15.7% from the prior quarter.
iShares Silver Trust (SLV) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, iShares Silver Trust reported Operating Expenses of $140.38 million, up 127.1% year-over-year; for FY2025, it was $95.55 million, up 51.0% from FY2024.
- Going back by year, Operating Expenses was $63.27 million in FY2024.
- The five-year range for quarterly Operating Expenses is $16.93 million (Q3 2024) to $52.73 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Spdr Gold Trust | 129.47 Bn | -428.53 Bn | - | 149.76 Mn |
| 2 | Blackstone | 89.62 Bn | 84.55 Bn | - | 2.38 Bn |
| 3 | Brookfield | 85.29 Bn | -97.80 Bn | - | 14.94 Bn |
| 4 | Kkr | 82.26 Bn | 48.74 Bn | - | 5.41 Bn |
| 5 | Wheaton Precious Metals | 55.56 Bn | 50.98 Bn | 687.86 Mn | 133.83 Mn |
| 6 | Franco Nevada | 44.49 Bn | 41.85 Bn | 451.00 Mn | 5.30 Mn |
| 7 | World Gold Trust | 27.17 Bn | -75.90 Bn | - | 7.55 Mn |
| 8 | Ishares Gold Trust | 25.18 Bn | 25.18 Bn | - | 43.37 Mn |
| 9 | iShares Silver Trust | 18.86 Bn | 18.86 Bn | - | 44.44 Mn |
| 10 | Carlyle | 13.69 Bn | 8.54 Bn | - | 875.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.44 Mn |
| Mar 31, 2026 | 52.73 Mn |
| Sep 30, 2025 | 24.02 Mn |
| Jun 30, 2025 | 19.19 Mn |
| Mar 31, 2025 | 17.52 Mn |
| Sep 30, 2024 | 16.93 Mn |
| Dec 31, 2019 | 8.17 Mn |
| Sep 30, 2019 | 7.82 Mn |
| Jun 30, 2019 | 5.82 Mn |
| Mar 31, 2019 | 5.95 Mn |
| Dec 31, 2018 | 5.96 Mn |
| Sep 30, 2018 | 6.24 Mn |
| Jun 30, 2018 | 6.59 Mn |
| Mar 31, 2018 | 6.54 Mn |
| Dec 31, 2017 | 6.78 Mn |
| Sep 30, 2017 | 7.13 Mn |
| Jun 30, 2017 | 7.23 Mn |
| Mar 31, 2017 | 7.17 Mn |
| Dec 31, 2016 | 7.64 Mn |
| Sep 30, 2016 | 8.68 Mn |
iShares 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=SLV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SLV", "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=SLV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();