Virtu Financial (VIRT) Operating Expenses (2014 - 2026)
Virtu Financial's Operating Expenses came in at $847.4 million for Q2 2026, up 29.9% from $652.55 million a year earlier and up 23.6% from the prior quarter.
Virtu Financial (VIRT) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Virtu Financial reported Operating Expenses of $2.8 billion, up 14.1% year-over-year; for FY2025, it was $2.54 billion, up 13.7% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.23 billion in FY2024 (+13.4%), $1.97 billion in FY2023 (+8.9%), $1.81 billion in FY2022 (-0.4%) and $1.81 billion in FY2021 (-2.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2014.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 16.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 29.9%), and the weakest in Q1 2022 (a decline of 12.1%).
- Business Quant data shows VIRT's Operating Expenses at $685.76 million (Q1 2026), $626.3 million (Q4 2025) and $644.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 255.60 Mn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 4.67 Bn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 313.68 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Virtu Financial | 4.95 Bn | 1.14 Bn | - | 847.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 847.40 Mn |
| Mar 31, 2026 | 685.76 Mn |
| Dec 31, 2025 | 626.30 Mn |
| Sep 30, 2025 | 644.80 Mn |
| Jun 30, 2025 | 652.55 Mn |
| Mar 31, 2025 | 614.13 Mn |
| Dec 31, 2024 | 631.68 Mn |
| Sep 30, 2024 | 559.68 Mn |
| Jun 30, 2024 | 537.60 Mn |
| Mar 31, 2024 | 503.02 Mn |
| Dec 31, 2023 | 519.18 Mn |
| Sep 30, 2023 | 492.06 Mn |
| Jun 30, 2023 | 471.39 Mn |
| Mar 31, 2023 | 485.62 Mn |
| Dec 31, 2022 | 458.07 Mn |
| Sep 30, 2022 | 459.44 Mn |
| Jun 30, 2022 | 430.95 Mn |
| Mar 31, 2022 | 459.55 Mn |
| Dec 31, 2021 | 478.59 Mn |
| Sep 30, 2021 | 399.25 Mn |
Virtu Financial 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=VIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VIRT", "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=VIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();