Sei Investments (SEIC) Accumulated Expenses (2009 - 2026)
Sei Investments (SEIC) reported Accumulated Expenses of $284.92 million for Q3 2026, up 12.1% from $254.16 million a year earlier and up 26.3% from the prior quarter.
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Analysis
Sei Investments (SEIC) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Sei Investments posted Accumulated Expenses of $359.82 million, up 3.5% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $347.51 million in FY2024 (+9.0%), $318.95 million in FY2023 (-11.2%), $359.36 million in FY2022 (+10.8%) and $324.38 million in FY2021 (+8.2%).
- Five-year quarterly Accumulated Expenses spans a low of $208.12 million in Q2 2024 and a high of $359.82 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 3.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2022 (growth of 27.7%); the low point was Q3 2023 (a decline of 15.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $225.61 million (Q2 2026), $237.72 million (Q1 2026) and $359.82 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - |
| 10 | Sei Investments | 12.95 Bn | 11.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 284.92 Mn |
| Jun 30, 2026 | 225.61 Mn |
| Mar 31, 2026 | 237.72 Mn |
| Dec 31, 2025 | 359.82 Mn |
| Sep 30, 2025 | 254.16 Mn |
| Jun 30, 2025 | 214.51 Mn |
| Mar 31, 2025 | 224.70 Mn |
| Dec 31, 2024 | 347.51 Mn |
| Sep 30, 2024 | 258.17 Mn |
| Jun 30, 2024 | 208.12 Mn |
| Mar 31, 2024 | 242.86 Mn |
| Dec 31, 2023 | 318.95 Mn |
| Sep 30, 2023 | 249.87 Mn |
| Jun 30, 2023 | 237.16 Mn |
| Mar 31, 2023 | 233.68 Mn |
| Dec 31, 2022 | 359.36 Mn |
| Sep 30, 2022 | 294.99 Mn |
| Jun 30, 2022 | 218.75 Mn |
| Mar 31, 2022 | 250.47 Mn |
| Dec 31, 2021 | 324.38 Mn |
API Access
Sei Investments Accumulated Expenses 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=accumulated-expenses&ticker=SEIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();