Silvercrest Asset Management (SAMG) Operating Expenses (2012 - 2026)
Silvercrest Asset Management (SAMG) reported Operating Expenses of $29.83 million for Q2 2026, up 12.0% from $26.63 million a year earlier but down 1.1% from the prior quarter.
Silvercrest Asset Management (SAMG) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Silvercrest Asset Management's Operating Expenses came in at $122.78 million, up 12.5% year-over-year; for FY2025, it was $115.99 million, up 9.4% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $106.02 million in FY2024 (+7.5%), $98.59 million in FY2023 (+16.5%), $84.66 million in FY2022 (-16.3%) and $101.08 million in FY2021 (+17.9%).
- Five-year quarterly Operating Expenses spans a low of $18.07 million in Q1 2022 and a high of $32.84 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 14 quarters, with growth averaging 9.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2023 (growth of 25.5%); the low point was Q1 2022 (a decline of 29.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $30.14 million (Q1 2026), $32.84 million (Q4 2025) and $29.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Silvercrest Asset Management | 124.88 Mn | 44.11 Mn | - | 29.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.83 Mn |
| Mar 31, 2026 | 30.14 Mn |
| Dec 31, 2025 | 32.84 Mn |
| Sep 30, 2025 | 29.96 Mn |
| Jun 30, 2025 | 26.63 Mn |
| Mar 31, 2025 | 26.56 Mn |
| Dec 31, 2024 | 30.01 Mn |
| Sep 30, 2024 | 25.97 Mn |
| Jun 30, 2024 | 25.68 Mn |
| Mar 31, 2024 | 24.37 Mn |
| Dec 31, 2023 | 29.51 Mn |
| Sep 30, 2023 | 23.19 Mn |
| Jun 30, 2023 | 23.22 Mn |
| Mar 31, 2023 | 22.68 Mn |
| Dec 31, 2022 | 24.37 Mn |
| Sep 30, 2022 | 21.94 Mn |
| Jun 30, 2022 | 20.27 Mn |
| Mar 31, 2022 | 18.07 Mn |
| Dec 31, 2021 | 24.49 Mn |
| Sep 30, 2021 | 25.28 Mn |
Silvercrest Asset Management 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=SAMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SAMG", "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=SAMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();