Tradeweb Markets (TW) Return on Sales [ROS] (2018 - 2026)
Tradeweb Markets' Return on Sales [ROS] was 43.88% in Q2 2026, up 4.92 percentage points from 38.96% a year earlier but down 2.62 percentage points from the prior quarter.
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Analysis
Tradeweb Markets (TW) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tradeweb Markets' Return on Sales [ROS] was 43.68% through Jun 30, 2026, up 4.83 percentage points year-over-year; for FY2025, it came in at 40.70%, up 1.42 percentage points from FY2024.
- Return on Sales [ROS] has now increased for eight consecutive years, with a five-year change of +11.20 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 39.28% in FY2024 (+1.53 pp), 37.76% in FY2023 (+3.05 pp), 34.71% in FY2022 (+1.37 pp) and 33.33% in FY2021 (+3.83 pp).
- Quarterly Return on Sales [ROS] has moved between 31.24% (Q4 2022) and 46.50% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +2.09 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 7.04 percentage points); the worst was Q3 2024 (a drop of 2.50 percentage points).
- Per Business Quant data, TW's Return on Sales [ROS] in the three quarters before Q2 2026 was 46.50% (Q1 2026), 42.41% (Q4 2025) and 41.36% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | 119.30% |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 38.52% |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | 83.30% |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 138.98% |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 32.99% |
| 10 | Tradeweb Markets | 24.19 Bn | 16.90 Bn | - | 43.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.88% |
| Mar 31, 2026 | 46.50% |
| Dec 31, 2025 | 42.41% |
| Sep 30, 2025 | 41.36% |
| Jun 30, 2025 | 38.96% |
| Mar 31, 2025 | 40.05% |
| Dec 31, 2024 | 40.69% |
| Sep 30, 2024 | 35.49% |
| Jun 30, 2024 | 40.13% |
| Mar 31, 2024 | 41.02% |
| Dec 31, 2023 | 38.28% |
| Sep 30, 2023 | 37.99% |
| Jun 30, 2023 | 37.45% |
| Mar 31, 2023 | 37.23% |
| Dec 31, 2022 | 31.24% |
| Sep 30, 2022 | 35.81% |
| Jun 30, 2022 | 35.88% |
| Mar 31, 2022 | 35.83% |
| Dec 31, 2021 | 32.93% |
| Sep 30, 2021 | 32.24% |
API Access
Tradeweb Markets Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();