Sei Investments (SEIC) Total Non-Current Liabilities (2009 - 2026)
Sei Investments' Total Non-Current Liabilities was $765.61 million in Q2 2026, compared with $5.05 million a year earlier and up 1.6% from the prior quarter.
Sei Investments (SEIC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Sei Investments came in at $4.7 million, down 12.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $5.38 million in FY2024 (+146.7%), $2.18 million in FY2023 (-28.5%), $3.05 million in FY2022 (-21.0%) and $3.86 million in FY2021 (-16.4%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last six quarters, with growth averaging 102.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 192.6%); the worst was Q2 2024 (a decline of 34.2%).
- Per Business Quant data, SEIC's Total Non-Current Liabilities in the three quarters before Q2 2026 was $753.28 million (Q1 2026), $4.7 million (Q4 2025) and $4.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 46.75 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 468.26 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 167.36 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 24.02 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 15.10 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 224.85 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 161.36 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 4.94 Bn |
| 10 | Sei Investments | 12.29 Bn | 10.65 Bn | - | 765.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 765.61 Mn |
| Mar 31, 2026 | 753.28 Mn |
| Dec 31, 2025 | 4.70 Mn |
| Sep 30, 2025 | 4.88 Mn |
| Jun 30, 2025 | 5.05 Mn |
| Mar 31, 2025 | 5.22 Mn |
| Dec 31, 2024 | 5.38 Mn |
| Sep 30, 2024 | 5.54 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.96 Mn |
| Dec 31, 2023 | 2.18 Mn |
| Sep 30, 2023 | 2.41 Mn |
| Jun 30, 2023 | 2.63 Mn |
| Mar 31, 2023 | 2.84 Mn |
| Dec 31, 2022 | 3.05 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2022 | 3.47 Mn |
| Mar 31, 2022 | 3.67 Mn |
| Dec 31, 2021 | 3.86 Mn |
| Sep 30, 2021 | 4.06 Mn |
Sei Investments Total Non-Current 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-non-current-liabilities&ticker=SEIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();