Sei Investments (SEIC) Shares Outstanding (Diluted) (2009 - 2026)
Sei Investments (SEIC) recorded Weighted Average Shares Outstanding (Diluted) of 122.01 million in Q3 2026, down 3.4% from 126.33 million a year earlier and down 1.1% from the prior quarter.
Sei Investments (SEIC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Sei Investments reported Weighted Average Shares Outstanding (Diluted) of 127.08 million, down 3.5% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for 14 straight years, with a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 131.73 million in FY2024 (-1.5%), 133.73 million in FY2023 (-2.7%), 137.42 million in FY2022 (-4.1%) and 143.31 million in FY2021 (-3.8%).
- The Q3 2026 figure is the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2011.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined for 33 consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 1.4% (Q2 2024) to 4.4% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at 123.33 million (Q2 2026), 124.49 million (Q1 2026) and 127.08 million (Q4 2025).
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 | Sei Investments | 12.95 Bn | 11.72 Bn | - | 122.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.01 Mn |
| Jun 30, 2026 | 123.33 Mn |
| Mar 31, 2026 | 124.49 Mn |
| Dec 31, 2025 | 127.08 Mn |
| Sep 30, 2025 | 126.33 Mn |
| Jun 30, 2025 | 127.28 Mn |
| Mar 31, 2025 | 129.45 Mn |
| Dec 31, 2024 | 131.73 Mn |
| Sep 30, 2024 | 130.67 Mn |
| Jun 30, 2024 | 132.07 Mn |
| Mar 31, 2024 | 132.75 Mn |
| Dec 31, 2023 | 133.73 Mn |
| Sep 30, 2023 | 133.50 Mn |
| Jun 30, 2023 | 133.94 Mn |
| Mar 31, 2023 | 135.31 Mn |
| Dec 31, 2022 | 137.42 Mn |
| Sep 30, 2022 | 136.35 Mn |
| Jun 30, 2022 | 137.82 Mn |
| Mar 31, 2022 | 139.71 Mn |
| Dec 31, 2021 | 143.31 Mn |
Sei Investments 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=SEIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SEIC", "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=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();