Tradeweb Markets (TW) EBITDA (2018 - 2026)
Tradeweb Markets' EBITDA was $306.75 million in Q2 2026, up 16.7% from $262.9 million a year earlier but down 11.8% from the prior quarter.
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Analysis
Tradeweb Markets (TW) EBITDA (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tradeweb Markets' EBITDA was $1.21 billion through Jun 30, 2026, up 21.3% year-over-year; for FY2025, it was $1.09 billion, up 20.9% from FY2024.
- EBITDA has now increased for six consecutive years, with a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $898.03 million in FY2024 (+30.0%), $690.62 million in FY2023 (+16.8%), $591.45 million in FY2022 (+11.6%) and $530.14 million in FY2021 (+27.1%).
- Quarterly EBITDA has moved between $130.35 million (Q3 2021) and $347.96 million (Q1 2026) over five years.
- Compared with a year earlier, EBITDA has increased for 27 straight quarters, with growth averaging 24.0% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 1.2% (Q4 2022) and 38.6% (Q4 2023) over the last five years.
- Per Business Quant data, TW's EBITDA in the three quarters before Q2 2026 was $347.96 million (Q1 2026), $281.1 million (Q4 2025) and $274.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 1.22 Bn |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | 6.85 Bn |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 1.81 Bn |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 860.00 Mn |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 897.00 Mn |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | 3.67 Bn |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 562.00 Mn |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 2.79 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 2.40 Bn |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 315.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 315.75 Mn |
| Jun 30, 2026 | 306.75 Mn |
| Mar 31, 2026 | 347.96 Mn |
| Dec 31, 2025 | 281.10 Mn |
| Sep 30, 2025 | 274.72 Mn |
| Jun 30, 2025 | 262.90 Mn |
| Mar 31, 2025 | 266.80 Mn |
| Dec 31, 2024 | 251.39 Mn |
| Sep 30, 2024 | 217.19 Mn |
| Jun 30, 2024 | 212.43 Mn |
| Mar 31, 2024 | 217.02 Mn |
| Dec 31, 2023 | 189.13 Mn |
| Sep 30, 2023 | 171.30 Mn |
| Jun 30, 2023 | 162.22 Mn |
| Mar 31, 2023 | 167.97 Mn |
| Dec 31, 2022 | 136.44 Mn |
| Sep 30, 2022 | 147.59 Mn |
| Jun 30, 2022 | 151.38 Mn |
| Mar 31, 2022 | 156.05 Mn |
| Dec 31, 2021 | 134.83 Mn |
API Access
Tradeweb Markets EBITDA 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=ebitda&ticker=TW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();