Siebert Financial (SIEB) Total Current Liabilities (2011 - 2026)
Siebert Financial's Total Current Liabilities was $871.99 million in Q2 2026, up 87.5% from $464.99 million a year earlier and up 74.3% from the prior quarter.
Siebert Financial (SIEB) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Siebert Financial came in at $660.82 million, up 54.5% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -13.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $427.83 million in FY2024 (-40.7%), $721.63 million in FY2023 (+7.8%), $669.72 million in FY2022 (-50.1%) and $1.34 billion in FY2021 (+1.0%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q2 2023.
- Compared with a year earlier, Total Current Liabilities has increased for four straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2021 (growth of 90.0%); the worst was Q4 2022 (a decline of 50.1%).
- Per Business Quant data, SIEB's Total Current Liabilities in the three quarters before Q2 2026 was $500.41 million (Q1 2026), $660.82 million (Q4 2025) and $506.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.04 Bn | 94.14 Bn | - | 158.72 Bn |
| 2 | Intercontinental Exchange | 89.05 Bn | 82.79 Bn | - | 120.58 Bn |
| 3 | Robinhood Markets | 88.38 Bn | 69.41 Bn | - | 44.58 Bn |
| 4 | Nasdaq | 53.43 Bn | 50.85 Bn | 1.50 Bn | 4.51 Bn |
| 5 | Interactive Brokers | 37.07 Bn | 14.18 Bn | - | - |
| 6 | Cboe Global Markets | 32.92 Bn | 24.57 Bn | 731.60 Mn | 3.79 Bn |
| 7 | LPL Financial Holdings | 25.73 Bn | 21.05 Bn | - | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.35 Bn | - | - |
| 9 | Circle Internet | 21.36 Bn | 15.24 Bn | 288.85 Mn | 73.60 Bn |
| 10 | Siebert Financial | 76.63 Mn | -71.37 Mn | - | 871.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 871.99 Mn |
| Mar 31, 2026 | 500.41 Mn |
| Dec 31, 2025 | 660.82 Mn |
| Sep 30, 2025 | 506.18 Mn |
| Jun 30, 2025 | 464.99 Mn |
| Mar 31, 2025 | 433.98 Mn |
| Dec 31, 2024 | 427.83 Mn |
| Sep 30, 2024 | 488.74 Mn |
| Jun 30, 2024 | 522.17 Mn |
| Mar 31, 2024 | 658.87 Mn |
| Dec 31, 2023 | 721.63 Mn |
| Sep 30, 2023 | 692.33 Mn |
| Jun 30, 2023 | 987.72 Mn |
| Mar 31, 2023 | 711.78 Mn |
| Dec 31, 2022 | 669.72 Mn |
| Sep 30, 2022 | 961.79 Mn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 1.34 Bn |
| Sep 30, 2021 | 1.19 Bn |
Siebert Financial Total 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-current-liabilities&ticker=SIEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SIEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();