Sei Investments (SEIC) Other Operating Expenses (2009 - 2026)
Sei Investments' Other Operating Expenses was $236.25 million in Q3 2026, up 14.0% from $207.22 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Sei Investments (SEIC) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sei Investments' Other Operating Expenses was $895.41 million through Sep 30, 2026, up 10.7% year-over-year; for FY2025, it was $817.58 million, up 6.4% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $768.25 million in FY2024 (+3.9%), $739.67 million in FY2023 (-2.8%), $760.85 million in FY2022 (+1.9%) and $746.39 million in FY2021 (+9.9%).
- The Q3 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q1 2010.
- Compared with a year earlier, Other Operating Expenses has increased for nine straight quarters, with growth averaging 8.9% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2026 (growth of 14.0%); the worst was Q4 2022 (a decline of 7.8%).
- Per Business Quant data, SEIC's Other Operating Expenses in the three quarters before Q3 2026 was $229.13 million (Q2 2026), $218.65 million (Q1 2026) and $211.37 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 | 434.61 Mn |
| Jun 30, 2026 | 220.42 Mn |
| Mar 31, 2026 | 230.63 Mn |
| Dec 31, 2025 | 413.23 Mn |
| Sep 30, 2025 | 225.88 Mn |
| Jun 30, 2025 | 154.47 Mn |
| Mar 31, 2025 | 216.05 Mn |
| Dec 31, 2024 | 382.90 Mn |
| Sep 30, 2024 | 208.70 Mn |
| Jun 30, 2024 | 355.54 Mn |
| Mar 31, 2024 | 358.74 Mn |
| Dec 31, 2023 | 347.37 Mn |
| Sep 30, 2023 | 342.09 Mn |
| Jun 30, 2023 | 344.64 Mn |
| Mar 31, 2023 | 340.03 Mn |
| Dec 31, 2022 | 336.30 Mn |
| Sep 30, 2022 | 392.03 Mn |
| Jun 30, 2022 | 337.39 Mn |
| Mar 31, 2022 | 340.92 Mn |
| Dec 31, 2021 | 330.00 Mn |
API Access
Sei Investments Other Operating 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=other-operating-expenses&ticker=SEIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();