Interactive Brokers (IBKR) Shares Outstanding (Diluted) (2009 - 2026)
Interactive Brokers' Weighted Average Shares Outstanding (Diluted) was 450.09 million in Q3 2026, up 0.8% from 446.53 million a year earlier and unchanged from the prior quarter.
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Analysis
Interactive Brokers (IBKR) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Interactive Brokers came in at 443.86 million, up 1.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for 16 consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 436.01 million in FY2024 (+3.0%), 423.39 million in FY2023 (+4.5%), 405.2 million in FY2022 (+6.6%) and 380.04 million in FY2021 (+17.8%).
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 66 straight quarters, with growth averaging 1.8% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.8% (Q3 2026) and 17.8% (Q4 2021) over the last five years.
- Per Business Quant data, IBKR's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 450.09 million (Q2 2026), 448.37 million (Q1 2026) and 443.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 358.64 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 686.91 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 563.00 Mn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 911.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 563.31 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 279.29 Mn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 104.70 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 453.92 Mn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 183.17 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | 210.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 453.92 Mn |
| Jun 30, 2026 | 450.09 Mn |
| Mar 31, 2026 | 448.37 Mn |
| Dec 31, 2025 | 443.86 Mn |
| Sep 30, 2025 | 446.53 Mn |
| Jun 30, 2025 | 441.44 Mn |
| Mar 31, 2025 | 439.46 Mn |
| Dec 31, 2024 | 436.01 Mn |
| Sep 30, 2024 | 438.15 Mn |
| Jun 30, 2024 | 434.51 Mn |
| Mar 31, 2024 | 432.60 Mn |
| Dec 31, 2023 | 423.39 Mn |
| Sep 30, 2023 | 428.05 Mn |
| Jun 30, 2023 | 417.85 Mn |
| Mar 31, 2023 | 416.17 Mn |
| Dec 31, 2022 | 405.20 Mn |
| Sep 30, 2022 | 410.22 Mn |
| Jun 30, 2022 | 398.78 Mn |
| Mar 31, 2022 | 396.90 Mn |
| Dec 31, 2021 | 380.04 Mn |
API Access
Interactive Brokers Shares Outstanding (Diluted) 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-diluted&ticker=IBKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=IBKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();