Tradeweb Markets (TW) Total Non-Current Liabilities (2019 - 2026)
Tradeweb Markets (TW) reported Total Non-Current Liabilities of $595.19 million for Q2 2026, down 39.2% from $978.38 million a year earlier and down 8.5% from the prior quarter.
Tradeweb Markets (TW) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Tradeweb Markets posted Total Non-Current Liabilities of $663.8 million, up 33.8% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $496.27 million in FY2024 (-26.0%), $670.61 million in FY2023 (+132.8%), $288.09 million in FY2022 (+7.2%) and $268.79 million in FY2021 (+4.8%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 22.8%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 305.3%); the low point was Q1 2025 (a decline of 49.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $650.31 million (Q1 2026), $663.8 million (Q4 2025) and $709.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 46.75 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 468.26 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 167.36 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 24.02 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 15.10 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 224.85 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 161.36 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 4.94 Bn |
| 10 | Tradeweb Markets | 23.59 Bn | 16.31 Bn | - | 595.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 595.19 Mn |
| Mar 31, 2026 | 650.31 Mn |
| Dec 31, 2025 | 663.80 Mn |
| Sep 30, 2025 | 709.58 Mn |
| Jun 30, 2025 | 978.38 Mn |
| Mar 31, 2025 | 452.96 Mn |
| Dec 31, 2024 | 496.27 Mn |
| Sep 30, 2024 | 667.92 Mn |
| Jun 30, 2024 | 696.20 Mn |
| Mar 31, 2024 | 887.92 Mn |
| Dec 31, 2023 | 670.61 Mn |
| Sep 30, 2023 | 244.81 Mn |
| Jun 30, 2023 | 325.13 Mn |
| Mar 31, 2023 | 219.10 Mn |
| Dec 31, 2022 | 288.09 Mn |
| Sep 30, 2022 | 243.69 Mn |
| Jun 30, 2022 | 209.57 Mn |
| Mar 31, 2022 | 298.28 Mn |
| Dec 31, 2021 | 268.79 Mn |
| Sep 30, 2021 | 262.97 Mn |
Tradeweb Markets Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();