Victory Capital Holdings (VCTR) Operating Expenses (2016 - 2026)
Victory Capital Holdings' Operating Expenses came in at $241.61 million for Q2 2026, down 6.0% from $257 million a year earlier but up 5.6% from the prior quarter.
Victory Capital Holdings (VCTR) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Victory Capital Holdings reported Operating Expenses of $914.43 million, up 50.0% year-over-year; for FY2025, it came in at $827.71 million, up 77.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $465.96 million in FY2024 (-5.4%), $492.57 million in FY2023 (+8.1%), $455.69 million in FY2022 (-11.8%) and $516.42 million in FY2021 (+12.1%).
- The five-year range for quarterly Operating Expenses is $96.68 million (Q2 2022) to $257 million (Q2 2025).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 48.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 135.7%), and the weakest in Q2 2022 (a decline of 23.7%).
- Business Quant data shows VCTR's Operating Expenses at $228.8 million (Q1 2026), $220.95 million (Q4 2025) and $223.07 million (Q3 2025) in the three quarters before Q2 2026.
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 | Victory Capital Holdings | 6.97 Bn | 6.55 Bn | - | 241.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.61 Mn |
| Mar 31, 2026 | 228.80 Mn |
| Dec 31, 2025 | 220.95 Mn |
| Sep 30, 2025 | 223.07 Mn |
| Jun 30, 2025 | 257.00 Mn |
| Mar 31, 2025 | 126.69 Mn |
| Dec 31, 2024 | 120.63 Mn |
| Sep 30, 2024 | 105.27 Mn |
| Jun 30, 2024 | 109.02 Mn |
| Mar 31, 2024 | 131.05 Mn |
| Dec 31, 2023 | 119.48 Mn |
| Sep 30, 2023 | 129.64 Mn |
| Jun 30, 2023 | 116.70 Mn |
| Mar 31, 2023 | 126.76 Mn |
| Dec 31, 2022 | 121.91 Mn |
| Sep 30, 2022 | 108.62 Mn |
| Jun 30, 2022 | 96.68 Mn |
| Mar 31, 2022 | 128.48 Mn |
| Dec 31, 2021 | 139.30 Mn |
| Sep 30, 2021 | 127.29 Mn |
Victory Capital Holdings 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=VCTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VCTR", "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=VCTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();