Cboe Global Markets (CBOE) Depreciation & Amortization - Total (2016 - 2026)
Cboe Global Markets' Depreciation & Amortization - Total came in at $11.4 million for Q3 2026, unchanged from $11.4 million a year earlier and up 1.8% from the prior quarter.
Cboe Global Markets (CBOE) Depreciation & Amortization - Total (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cboe Global Markets reported Depreciation & Amortization - Total of $44.1 million, up 10.8% 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%).
- Year-over-year, Depreciation & Amortization - Total increased in seven of the last eight quarters, with growth averaging 16.5%.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in Q3 2025 (growth of 32.6%), and the weakest in Q4 2023 (a decline of 20.0%).
- Business Quant data shows CBOE's Depreciation & Amortization - Total at $11.2 million (Q2 2026), $10.5 million (Q1 2026) and $11 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 27.40 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | - |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | - |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 11.40 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | - |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | 7.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.40 Mn |
| 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 |
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();