Cboe Global Markets (CBOE) Depreciation and Depletion (2016 - 2026)
Cboe Global Markets (CBOE) posted Depreciation and Depletion of $11.2 million for Q2 2026, up 9.8% from $10.2 million a year earlier and up 6.7% 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 Jun 30, 2026, Depreciation and Depletion at Cboe Global Markets was $44.1 million, up 19.2% 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%).
- Quarterly Depreciation and Depletion has run from a low of $7.6 million in Q4 2023 to a high of $11.4 million in Q3 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last eight quarters, with growth averaging 16.6% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2021, with growth of 33.3%; 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 $10.5 million (Q1 2026), $11 million (Q4 2025) and $11.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | - |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 28.20 Mn |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | - |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | - |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | - |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 11.20 Mn |
| 10 | LPL Financial Holdings | 24.58 Bn | 19.90 Bn | - | - |
Historic Data
Download Data
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 |
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();