Sei Investments (SEIC) Shares Outstanding (2009 - 2026)
Sei Investments' Weighted Average Shares Outstanding came in at 118.42 million for Q3 2026, down 3.8% from 123.1 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Sei Investments (SEIC) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Sei Investments' Weighted Average Shares Outstanding was 124.08 million, down 4.6% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last 16 years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 130.07 million in FY2024 (-1.9%), 132.59 million in FY2023 (-2.6%), 136.07 million in FY2022 (-3.6%) and 141.22 million in FY2021 (-3.7%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding in data going back to Q4 2009.
- Year-over-year, Weighted Average Shares Outstanding has declined for 64 consecutive quarters, with an average decline of 3.9% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 1.5% (Q2 2024) and 4.9% (Q3 2025) over the last five years.
- Business Quant data shows SEIC's Weighted Average Shares Outstanding at 120.34 million (Q2 2026), 121.66 million (Q1 2026) and 124.08 million (Q4 2025) in the three quarters before Q3 2026.
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 | Sei Investments | 12.95 Bn | 11.72 Bn | - | 118.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 118.42 Mn |
| Jun 30, 2026 | 120.34 Mn |
| Mar 31, 2026 | 121.66 Mn |
| Dec 31, 2025 | 124.08 Mn |
| Sep 30, 2025 | 123.10 Mn |
| Jun 30, 2025 | 124.47 Mn |
| Mar 31, 2025 | 126.56 Mn |
| Dec 31, 2024 | 130.07 Mn |
| Sep 30, 2024 | 129.42 Mn |
| Jun 30, 2024 | 130.82 Mn |
| Mar 31, 2024 | 131.42 Mn |
| Dec 31, 2023 | 132.59 Mn |
| Sep 30, 2023 | 132.23 Mn |
| Jun 30, 2023 | 132.85 Mn |
| Mar 31, 2023 | 134.02 Mn |
| Dec 31, 2022 | 136.07 Mn |
| Sep 30, 2022 | 135.20 Mn |
| Jun 30, 2022 | 136.44 Mn |
| Mar 31, 2022 | 137.94 Mn |
| Dec 31, 2021 | 141.22 Mn |
API Access
Sei Investments 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=SEIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();