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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 165.53 Bn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 449.94 Bn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 147.08 Bn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 48.19 Bn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 15.38 Bn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 5.30 Bn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 219.98 Bn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 153.91 Bn |
| 10 | Siebert Financial | 73.76 Mn | -74.24 Mn | - | 880.11 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();