Siebert Financial (SIEB) Total Liabilities (2010 - 2026)
Siebert Financial (SIEB) posted Total Liabilities of $880.11 million for Q2 2026, up 87.0% from $470.52 million a year earlier and up 72.9% from the prior quarter.
Siebert Financial (SIEB) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Siebert Financial's Total Liabilities came in at $669.88 million, up 54.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- In prior years, Siebert Financial's Total Liabilities was $434.58 million in FY2024 (-40.6%), $731.09 million in FY2023 (+7.8%), $678.13 million in FY2022 (-49.9%) and $1.35 billion in FY2021 (+1.4%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2023.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 89.1%; the weakest was Q4 2022, with a decline of 49.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $509.02 million (Q1 2026), $669.88 million (Q4 2025) and $515.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 168.16 Bn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 144.63 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 47.01 Bn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 15.35 Bn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 225.06 Bn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 4.98 Bn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 14.03 Bn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 912.69 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 73.66 Bn |
| 10 | Siebert Financial | 77.45 Mn | -70.55 Mn | - | 880.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 880.11 Mn |
| Mar 31, 2026 | 509.02 Mn |
| Dec 31, 2025 | 669.88 Mn |
| Sep 30, 2025 | 515.60 Mn |
| Jun 30, 2025 | 470.52 Mn |
| Mar 31, 2025 | 439.92 Mn |
| Dec 31, 2024 | 434.58 Mn |
| Sep 30, 2024 | 495.83 Mn |
| Jun 30, 2024 | 529.93 Mn |
| Mar 31, 2024 | 667.47 Mn |
| Dec 31, 2023 | 731.09 Mn |
| Sep 30, 2023 | 699.58 Mn |
| Jun 30, 2023 | 993.73 Mn |
| Mar 31, 2023 | 719.55 Mn |
| Dec 31, 2022 | 678.13 Mn |
| Sep 30, 2022 | 970.90 Mn |
| Jun 30, 2022 | 1.10 Bn |
| Mar 31, 2022 | 1.08 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.20 Bn |
Siebert Financial 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=SIEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SIEB", "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=SIEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();