Interactive Brokers (IBKR) Change in Accured Expenses (2015 - 2026)
Interactive Brokers (IBKR) recorded Change in Accured Expenses of $364 million in Q2 2026, down 18.6% from $447 million a year earlier.
Interactive Brokers (IBKR) Change in Accured Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Interactive Brokers' Change in Accured Expenses came in at -$516 million as of Jun 30, 2026; for FY2025, it came in at $1.23 billion.
- Across earlier years, Change in Accured Expenses came in at $44 million in FY2024 (-90.6%), $468 million in FY2023, -$119 million in FY2022 and $568 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$931 million in Q1 2026 to $787 million in Q3 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 140.8%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 683.1% in Q3 2021, against a decline of 98.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$931 million (Q1 2026), $37 million (Q4 2025) and $14 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 364.00 Mn |
| Mar 31, 2026 | -931.00 Mn |
| Dec 31, 2025 | 37.00 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 447.00 Mn |
| Mar 31, 2025 | 728.00 Mn |
| Dec 31, 2024 | -831.00 Mn |
| Sep 30, 2024 | 787.00 Mn |
| Jun 30, 2024 | 73.00 Mn |
| Mar 31, 2024 | 15.00 Mn |
| Dec 31, 2023 | -84.00 Mn |
| Sep 30, 2023 | 294.00 Mn |
| Jun 30, 2023 | 98.00 Mn |
| Mar 31, 2023 | 160.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | 118.00 Mn |
| Jun 30, 2022 | 76.00 Mn |
| Mar 31, 2022 | -316.00 Mn |
| Dec 31, 2021 | -92.00 Mn |
| Sep 30, 2021 | 603.00 Mn |
Interactive Brokers 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=IBKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "IBKR", "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=IBKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();