Cboe Global Markets (CBOE) Other Non-Current Assets (2016 - 2026)
Cboe Global Markets (CBOE) reported Other Non-Current Assets of $172 million for Q2 2026, up 5.1% from $163.6 million a year earlier and up 10.5% from the prior quarter.
Cboe Global Markets (CBOE) Other Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets posted Other Non-Current Assets of $159.7 million, down 12.6% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $182.7 million in FY2024 (-11.4%), $206.3 million in FY2023 (+13.4%), $181.9 million in FY2022 (+44.6%) and $125.8 million in FY2021 (+64.9%).
- Five-year quarterly Other Non-Current Assets spans a low of $103.4 million in Q3 2021 and a high of $220.8 million in Q3 2024.
- Year over year, Other Non-Current Assets gained in two of the last eight quarters, with an average decline of 8.9%.
- The high point for year-over-year Other Non-Current Assets in five years was Q1 2022 (growth of 68.3%); the low point was Q2 2025 (a decline of 21.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $155.6 million (Q1 2026), $159.7 million (Q4 2025) and $177 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 579.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 31.00 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 2.52 Bn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 49.30 Bn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 1.09 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 81.85 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.80 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 14.53 Bn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 172.00 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 2.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172.00 Mn |
| Mar 31, 2026 | 155.60 Mn |
| Dec 31, 2025 | 159.70 Mn |
| Sep 30, 2025 | 177.00 Mn |
| Jun 30, 2025 | 163.60 Mn |
| Mar 31, 2025 | 177.40 Mn |
| Dec 31, 2024 | 182.70 Mn |
| Sep 30, 2024 | 220.80 Mn |
| Jun 30, 2024 | 208.60 Mn |
| Mar 31, 2024 | 209.40 Mn |
| Dec 31, 2023 | 206.30 Mn |
| Sep 30, 2023 | 189.60 Mn |
| Jun 30, 2023 | 181.10 Mn |
| Mar 31, 2023 | 186.30 Mn |
| Dec 31, 2022 | 181.90 Mn |
| Sep 30, 2022 | 144.50 Mn |
| Jun 30, 2022 | 140.40 Mn |
| Mar 31, 2022 | 140.20 Mn |
| Dec 31, 2021 | 125.80 Mn |
| Sep 30, 2021 | 103.40 Mn |
Cboe Global Markets Other Non-Current Assets 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=other-non-current-assets&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "ticker": "CBOE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-assets&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();