Nasdaq (NDAQ) Income Taxes Paid (2009 - 2026)
Nasdaq (NDAQ) posted Income Taxes Paid of $66 million for Q3 2026, up 50.0% from $44 million a year earlier but down 43.6% from the prior quarter.
Nasdaq (NDAQ) Income Taxes Paid (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Income Taxes Paid at Nasdaq was $503 million, up 47.1% year-over-year; for FY2025, it was $373 million, up 4.2% from FY2024.
- Annual Income Taxes Paid shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Nasdaq's Income Taxes Paid was $358 million in FY2024 (+40.9%), $254 million in FY2023 (-7.3%), $274 million in FY2022 (-45.3%) and $501 million in FY2021 (+72.8%).
- Quarterly Income Taxes Paid has run from a low of $18 million in Q1 2023 to a high of $167 million in Q1 2026 over five years.
- On a year-over-year basis, Income Taxes Paid increased in six of the last eight quarters, with growth averaging 68.5%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was Q1 2026, with growth of 271.1%; the weakest was Q2 2022, with a decline of 70.1%.
- According to Business Quant data, Income Taxes Paid for the three prior quarters was $117 million (Q2 2026), $167 million (Q1 2026) and $153 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 332.90 Mn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 379.00 Mn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 292.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 59.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 66.00 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | 135.00 Mn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 136.40 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 103.00 Mn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 202.90 Mn |
| 10 | Tradeweb Markets | 27.14 Bn | 18.94 Bn | - | 23.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.00 Mn |
| Jun 30, 2026 | 117.00 Mn |
| Mar 31, 2026 | 167.00 Mn |
| Dec 31, 2025 | 153.00 Mn |
| Sep 30, 2025 | 44.00 Mn |
| Jun 30, 2025 | 131.00 Mn |
| Mar 31, 2025 | 45.00 Mn |
| Dec 31, 2024 | 122.00 Mn |
| Sep 30, 2024 | 134.00 Mn |
| Jun 30, 2024 | 79.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 56.00 Mn |
| Sep 30, 2023 | 62.00 Mn |
| Jun 30, 2023 | 118.00 Mn |
| Mar 31, 2023 | 18.00 Mn |
| Dec 31, 2022 | 70.00 Mn |
| Sep 30, 2022 | 71.00 Mn |
| Jun 30, 2022 | 104.00 Mn |
| Mar 31, 2022 | 29.00 Mn |
| Dec 31, 2021 | 76.00 Mn |
Nasdaq Income Taxes Paid 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=income-taxes-paid&ticker=NDAQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=NDAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();