Cboe Global Markets (CBOE) Depreciation and Depletion (2016 - 2026)
Cboe Global Markets (CBOE) posted Depreciation and Depletion of $11.4 million for Q3 2026, unchanged from $11.4 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Depreciation and Depletion (2016 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Cboe Global Markets was $44.1 million, up 10.8% year-over-year; for FY2025, it came in at $42 million, up 23.5% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Depreciation and Depletion 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%).
- On a year-over-year basis, Depreciation and Depletion increased in seven of the last eight quarters, with growth averaging 16.5%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2025, with growth of 32.6%; the weakest was Q4 2023, with a decline of 20.0%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $11.2 million (Q2 2026), $10.5 million (Q1 2026) and $11 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 27.40 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | - |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 11.40 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | - |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - | 7.30 Mn |
Historic Data
Download Data
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 |
API Access
Cboe Global Markets Depreciation and Depletion 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-depletion&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();