Interactive Brokers (IBKR) Shares Outstanding (2009 - 2026)
Interactive Brokers (IBKR) reported Weighted Average Shares Outstanding of 447.9 million for Q3 2026, up 0.9% from 444.06 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Interactive Brokers (IBKR) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Interactive Brokers posted Weighted Average Shares Outstanding of 440.93 million, up 2.0% from FY2024.
- Weighted Average Shares Outstanding has increased for 16 consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 432.45 million in FY2024 (+3.0%), 419.86 million in FY2023 (+4.5%), 401.84 million in FY2022 (+6.7%) and 376.67 million in FY2021 (+17.8%).
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 66 quarters, with growth averaging 2.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.9% in Q3 2026 to 17.8% in Q4 2021.
- Per Business Quant data, the three quarters before Q3 2026 came in at 447.9 million (Q2 2026), 445.45 million (Q1 2026) and 440.93 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 358.02 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 679.49 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 561.00 Mn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 898.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 558.93 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 274.18 Mn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 104.50 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 452.27 Mn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 182.04 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | 210.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 452.27 Mn |
| Jun 30, 2026 | 447.90 Mn |
| Mar 31, 2026 | 445.45 Mn |
| Dec 31, 2025 | 440.93 Mn |
| Sep 30, 2025 | 444.06 Mn |
| Jun 30, 2025 | 438.46 Mn |
| Mar 31, 2025 | 435.69 Mn |
| Dec 31, 2024 | 432.45 Mn |
| Sep 30, 2024 | 435.03 Mn |
| Jun 30, 2024 | 430.88 Mn |
| Mar 31, 2024 | 428.28 Mn |
| Dec 31, 2023 | 419.86 Mn |
| Sep 30, 2023 | 424.93 Mn |
| Jun 30, 2023 | 414.35 Mn |
| Mar 31, 2023 | 411.83 Mn |
| Dec 31, 2022 | 401.84 Mn |
| Sep 30, 2022 | 407.27 Mn |
| Jun 30, 2022 | 395.42 Mn |
| Mar 31, 2022 | 392.90 Mn |
| Dec 31, 2021 | 376.67 Mn |
API Access
Interactive Brokers Shares Outstanding 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=shares-outstanding&ticker=IBKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=IBKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();