Tradeweb Markets (TW) Total Non-Current Liabilities (2019 - 2026)
Tradeweb Markets (TW) reported Total Non-Current Liabilities of $584.03 million for Q2 2026, down 39.4% from $963.69 million a year earlier and down 8.9% 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 $656.71 million, up 32.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $495.51 million in FY2024 (-26.0%), $669.28 million in FY2023 (+138.3%), $280.86 million in FY2022 (+4.5%) 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 21.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 305.1%); the low point was Q1 2025 (a decline of 49.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $641.21 million (Q1 2026), $656.71 million (Q4 2025) and $693.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 164.75 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 436.97 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 25.75 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 47.90 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 15.12 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 5.23 Bn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 219.74 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 148.14 Bn |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | 765.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 765.08 Mn |
| Jun 30, 2026 | 584.03 Mn |
| Mar 31, 2026 | 641.21 Mn |
| Dec 31, 2025 | 656.71 Mn |
| Sep 30, 2025 | 693.99 Mn |
| Jun 30, 2025 | 963.69 Mn |
| Mar 31, 2025 | 452.38 Mn |
| Dec 31, 2024 | 495.51 Mn |
| Sep 30, 2024 | 666.34 Mn |
| Jun 30, 2024 | 696.20 Mn |
| Mar 31, 2024 | 887.59 Mn |
| Dec 31, 2023 | 669.28 Mn |
| Sep 30, 2023 | 244.29 Mn |
| Jun 30, 2023 | 323.39 Mn |
| Mar 31, 2023 | 219.10 Mn |
| Dec 31, 2022 | 280.86 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 |
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();