Siebert Financial (SIEB) Shares Outstanding (Diluted) (2010 - 2026)
Siebert Financial's Shares Outstanding (Diluted) came in at 40.98 million for Q2 2026, up 1.4% from 40.4 million a year earlier and up 0.4% from the prior quarter.
Siebert Financial (SIEB) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Siebert Financial's Shares Outstanding (Diluted) was 40.36 million, up 1.0% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 39.95 million in FY2024 (+7.8%), 37.07 million in FY2023 (+14.4%), 32.41 million in FY2022 (+3.5%) and 31.32 million in FY2021 (+41.8%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year-over-year, Shares Outstanding (Diluted) has increased for 21 consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.3% (Q1 2023) to 46.7% (Q1 2022).
- Business Quant data shows SIEB's Shares Outstanding (Diluted) at 40.8 million (Q1 2026), 40.36 million (Q4 2025) and 40.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.68 Bn | 94.77 Bn | - | 361.28 Mn |
| 2 | Robinhood Markets | 88.85 Bn | 69.88 Bn | - | 912.00 Mn |
| 3 | Intercontinental Exchange | 88.42 Bn | 82.15 Bn | - | 566.00 Mn |
| 4 | Nasdaq | 53.06 Bn | 50.48 Bn | 1.50 Bn | 567.75 Mn |
| 5 | Interactive Brokers | 36.93 Bn | 14.05 Bn | - | 450.09 Mn |
| 6 | Cboe Global Markets | 32.80 Bn | 24.46 Bn | 731.60 Mn | 104.90 Mn |
| 7 | LPL Financial Holdings | 25.73 Bn | 21.05 Bn | - | 80.03 Mn |
| 8 | Tradeweb Markets | 25.28 Bn | 17.29 Bn | - | 212.80 Mn |
| 9 | Circle Internet | 21.12 Bn | 15.00 Bn | 288.85 Mn | 268.64 Mn |
| 10 | Siebert Financial | 77.86 Mn | -70.14 Mn | - | 40.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.98 Mn |
| Mar 31, 2026 | 40.80 Mn |
| Dec 31, 2025 | 40.36 Mn |
| Sep 30, 2025 | 40.42 Mn |
| Jun 30, 2025 | 40.40 Mn |
| Mar 31, 2025 | 40.19 Mn |
| Dec 31, 2024 | 39.95 Mn |
| Sep 30, 2024 | 40.02 Mn |
| Jun 30, 2024 | 39.89 Mn |
| Mar 31, 2024 | 39.77 Mn |
| Dec 31, 2023 | 37.07 Mn |
| Sep 30, 2023 | 39.68 Mn |
| Jun 30, 2023 | 36.41 Mn |
| Mar 31, 2023 | 32.51 Mn |
| Dec 31, 2022 | 32.41 Mn |
| Sep 30, 2022 | 32.40 Mn |
| Jun 30, 2022 | 32.40 Mn |
| Mar 31, 2022 | 32.40 Mn |
| Dec 31, 2021 | 31.32 Mn |
| Sep 30, 2021 | 31.13 Mn |
Siebert Financial 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=SIEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SIEB", "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=SIEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();