Nasdaq (NDAQ) Operating Expenses (2009 - 2026)
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Analysis
Nasdaq (NDAQ) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 595.90 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 3.49 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 1.36 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 739.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 749.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 2.62 Bn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 249.40 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 418.00 Mn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 1.49 Bn |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - | 331.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 749.00 Mn |
| Jun 30, 2026 | 788.00 Mn |
| Mar 31, 2026 | 750.00 Mn |
| Dec 31, 2025 | 763.00 Mn |
| Sep 30, 2025 | 729.00 Mn |
| Jun 30, 2025 | 738.00 Mn |
| Mar 31, 2025 | 690.00 Mn |
| Dec 31, 2024 | 710.00 Mn |
| Sep 30, 2024 | 698.00 Mn |
| Jun 30, 2024 | 736.00 Mn |
| Mar 31, 2024 | 707.00 Mn |
| Dec 31, 2023 | 764.00 Mn |
| Sep 30, 2023 | 509.00 Mn |
| Jun 30, 2023 | 543.00 Mn |
| Mar 31, 2023 | 502.00 Mn |
| Dec 31, 2022 | 558.00 Mn |
| Sep 30, 2022 | 492.00 Mn |
| Jun 30, 2022 | 481.00 Mn |
| Mar 31, 2022 | 487.00 Mn |
| Dec 31, 2021 | 542.00 Mn |
API Access
Nasdaq Operating Expenses 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=operating-expenses&ticker=NDAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NDAQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=NDAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();