Nasdaq (NDAQ) Change in Accured Expenses (2009 - 2026)
Nasdaq (NDAQ) posted Change in Accured Expenses of $36 million for Q2 2026, down 51.4% from $74 million a year earlier.
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Analysis
Nasdaq (NDAQ) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Nasdaq was -$32 million; for FY2025, it came in at $25 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In prior years, Nasdaq's Change in Accured Expenses was -$60 million in FY2024, $149 million in FY2023 (+684.2%), $19 million in FY2022 (-32.1%) and $28 million in FY2021 (-12.5%).
- Quarterly Change in Accured Expenses has run from a low of -$153 million in Q1 2026 to a high of $195 million in Q3 2023 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 15.1%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2023, with growth of 290.0%; the weakest was Q3 2024, with a decline of 77.9%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$153 million (Q1 2026), $50 million (Q4 2025) and $35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 55.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.00 Mn |
| Mar 31, 2026 | -153.00 Mn |
| Dec 31, 2025 | 50.00 Mn |
| Sep 30, 2025 | 35.00 Mn |
| Jun 30, 2025 | 74.00 Mn |
| Mar 31, 2025 | -134.00 Mn |
| Dec 31, 2024 | -17.00 Mn |
| Sep 30, 2024 | 43.00 Mn |
| Jun 30, 2024 | 24.00 Mn |
| Mar 31, 2024 | -110.00 Mn |
| Dec 31, 2023 | 39.00 Mn |
| Sep 30, 2023 | 195.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | -86.00 Mn |
| Dec 31, 2022 | 52.00 Mn |
| Sep 30, 2022 | 50.00 Mn |
| Jun 30, 2022 | -1.00 Mn |
| Mar 31, 2022 | -82.00 Mn |
| Dec 31, 2021 | 33.00 Mn |
| Sep 30, 2021 | 51.00 Mn |
API Access
Nasdaq Change in Accured 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=change-in-accured-expenses&ticker=NDAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NDAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();