Cboe Global Markets (CBOE) Depreciation & Amortization - Total (2016 - 2026)
Cboe Global Markets' Depreciation & Amortization - Total came in at $11.2 million for Q2 2026, up 9.8% from $10.2 million a year earlier and up 6.7% from the prior quarter.
Cboe Global Markets (CBOE) Depreciation & Amortization - Total (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cboe Global Markets reported Depreciation & Amortization - Total of $44.1 million, up 19.2% year-over-year; for FY2025, it was $42 million, up 23.5% from FY2024.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization - Total was $34 million in FY2024 (+3.0%), $33 million in FY2023 (-6.5%), $35.3 million in FY2022 (+5.4%) and $33.5 million in FY2021 (+25.0%).
- The five-year range for quarterly Depreciation & Amortization - Total is $7.6 million (Q4 2023) to $11.4 million (Q3 2025).
- Year-over-year, Depreciation & Amortization - Total has increased for eight consecutive quarters, with growth averaging 16.6% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in Q3 2021 (growth of 33.3%), and the weakest in Q4 2023 (a decline of 20.0%).
- Business Quant data shows CBOE's Depreciation & Amortization - Total at $10.5 million (Q1 2026), $11 million (Q4 2025) and $11.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 28.20 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | - |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 11.20 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.20 Mn |
| Mar 31, 2026 | 10.50 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | 11.40 Mn |
| Jun 30, 2025 | 10.20 Mn |
| Mar 31, 2025 | 9.40 Mn |
| Dec 31, 2024 | 8.80 Mn |
| Sep 30, 2024 | 8.60 Mn |
| Jun 30, 2024 | 8.00 Mn |
| Mar 31, 2024 | 8.60 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 8.50 Mn |
| Jun 30, 2023 | 8.40 Mn |
| Mar 31, 2023 | 8.50 Mn |
| Dec 31, 2022 | 9.50 Mn |
| Sep 30, 2022 | 8.60 Mn |
| Jun 30, 2022 | 8.60 Mn |
| Mar 31, 2022 | 8.60 Mn |
| Dec 31, 2021 | 8.70 Mn |
| Sep 30, 2021 | 9.20 Mn |
Cboe Global Markets Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();