Tradeweb Markets (TW) Operating Income (2018 - 2026)
Tradeweb Markets' Operating Income came in at $245.26 million for Q2 2026, up 22.7% from $199.85 million a year earlier but down 14.6% from the prior quarter.
Tradeweb Markets (TW) Operating Income (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tradeweb Markets reported Operating Income of $963.9 million, up 28.2% year-over-year; for FY2025, it was $835.34 million, up 23.2% from FY2024.
- Operating Income has increased in each of the last seven years, with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- Going back by year, Operating Income was $678.03 million in FY2024 (+34.2%), $505.27 million in FY2023 (+22.5%), $412.57 million in FY2022 (+15.0%) and $358.83 million in FY2021 (+36.3%).
- The five-year range for quarterly Operating Income is $85.53 million (Q3 2021) to $287.25 million (Q1 2026).
- Year-over-year, Operating Income has increased for 26 consecutive quarters, with growth averaging 27.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Income ranged from 0.4% (Q4 2022) to 54.7% (Q4 2023).
- Business Quant data shows TW's Operating Income at $287.25 million (Q1 2026), $221.01 million (Q4 2025) and $210.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 1.11 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.39 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 712.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 476.00 Mn |
| 10 | Tradeweb Markets | 23.59 Bn | 16.31 Bn | - | 245.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 245.26 Mn |
| Mar 31, 2026 | 287.25 Mn |
| Dec 31, 2025 | 221.01 Mn |
| Sep 30, 2025 | 210.37 Mn |
| Jun 30, 2025 | 199.85 Mn |
| Mar 31, 2025 | 204.10 Mn |
| Dec 31, 2024 | 188.54 Mn |
| Sep 30, 2024 | 159.32 Mn |
| Jun 30, 2024 | 162.49 Mn |
| Mar 31, 2024 | 167.68 Mn |
| Dec 31, 2023 | 141.63 Mn |
| Sep 30, 2023 | 124.74 Mn |
| Jun 30, 2023 | 116.34 Mn |
| Mar 31, 2023 | 122.57 Mn |
| Dec 31, 2022 | 91.55 Mn |
| Sep 30, 2022 | 102.81 Mn |
| Jun 30, 2022 | 106.61 Mn |
| Mar 31, 2022 | 111.60 Mn |
| Dec 31, 2021 | 91.18 Mn |
| Sep 30, 2021 | 85.53 Mn |
Tradeweb Markets Operating Income 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-income&ticker=TW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "ticker": "TW", "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-income&ticker=TW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();