Sei Investments (SEIC) Long-Term Investments (2009 - 2026)
Sei Investments (SEIC) recorded Long-Term Investments of $318.91 million in Q2 2026, up 9.8% from $290.47 million a year earlier but down 3.8% from the prior quarter.
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Analysis
Sei Investments (SEIC) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Sei Investments reported Long-Term Investments of $428 million, up 35.6% from FY2024.
- Annual Long-Term Investments has increased for three straight years, with a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Investments came in at $315.57 million in FY2024 (+15.4%), $273.51 million in FY2023 (+113.3%), $128.2 million in FY2022 (-1.0%) and $129.54 million in FY2021 (+22.9%).
- Quarterly Long-Term Investments has ranged from $109.38 million in Q3 2022 to $428 million in Q4 2025 over the past five years.
- On a year-over-year basis, Long-Term Investments has increased for 12 consecutive quarters, with growth averaging 41.0% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 113.3% in Q4 2023, against a decline of 21.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $331.37 million (Q1 2026), $428 million (Q4 2025) and $293.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 136.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | - |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 4.10 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 40.60 Mn |
| 10 | Sei Investments | 12.29 Bn | 10.65 Bn | - | 318.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318.91 Mn |
| Mar 31, 2026 | 331.37 Mn |
| Dec 31, 2025 | 428.00 Mn |
| Sep 30, 2025 | 293.87 Mn |
| Jun 30, 2025 | 290.47 Mn |
| Mar 31, 2025 | 278.08 Mn |
| Dec 31, 2024 | 315.57 Mn |
| Sep 30, 2024 | 175.72 Mn |
| Jun 30, 2024 | 176.95 Mn |
| Mar 31, 2024 | 164.03 Mn |
| Dec 31, 2023 | 273.51 Mn |
| Sep 30, 2023 | 119.56 Mn |
| Jun 30, 2023 | 116.79 Mn |
| Mar 31, 2023 | 124.27 Mn |
| Dec 31, 2022 | 128.20 Mn |
| Sep 30, 2022 | 109.38 Mn |
| Jun 30, 2022 | 121.68 Mn |
| Mar 31, 2022 | 134.72 Mn |
| Dec 31, 2021 | 129.54 Mn |
| Sep 30, 2021 | 140.08 Mn |
API Access
Sei Investments Long-Term Investments 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=long-term-investments&ticker=SEIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();