Sei Investments (SEIC) Total Liabilities (2009 - 2026)
Sei Investments (SEIC) recorded Total Liabilities of $880.45 million in Q3 2026, up 98.1% from $444.55 million a year earlier and up 11.7% from the prior quarter.
Powered by 
Analysis
Sei Investments (SEIC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Sei Investments reported Total Liabilities of $800.03 million, up 85.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $432.49 million in FY2024 (+11.4%), $388.18 million in FY2023 (-9.7%), $429.73 million in FY2022 (-13.0%) and $493.94 million in FY2021 (+15.6%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Liabilities has increased for six consecutive quarters, with growth averaging 70.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 173.9% in Q2 2026, against a decline of 23.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $788.47 million (Q2 2026), $788.47 million (Q1 2026) and $800.03 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 165.53 Bn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 449.94 Bn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 147.08 Bn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 48.19 Bn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 15.38 Bn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 374.63 Bn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 5.30 Bn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 219.98 Bn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 153.91 Bn |
| 10 | Sei Investments | 12.95 Bn | 11.72 Bn | - | 880.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 880.45 Mn |
| Jun 30, 2026 | 788.47 Mn |
| Mar 31, 2026 | 788.47 Mn |
| Dec 31, 2025 | 800.03 Mn |
| Sep 30, 2025 | 444.55 Mn |
| Jun 30, 2025 | 287.83 Mn |
| Mar 31, 2025 | 308.19 Mn |
| Dec 31, 2024 | 432.49 Mn |
| Sep 30, 2024 | 330.02 Mn |
| Jun 30, 2024 | 281.56 Mn |
| Mar 31, 2024 | 309.38 Mn |
| Dec 31, 2023 | 388.18 Mn |
| Sep 30, 2023 | 313.36 Mn |
| Jun 30, 2023 | 301.41 Mn |
| Mar 31, 2023 | 304.16 Mn |
| Dec 31, 2022 | 429.73 Mn |
| Sep 30, 2022 | 365.12 Mn |
| Jun 30, 2022 | 312.84 Mn |
| Mar 31, 2022 | 399.52 Mn |
| Dec 31, 2021 | 493.94 Mn |
API Access
Sei Investments Total Liabilities 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=total-liabilities&ticker=SEIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();