Lion Group Holding (LGHL) Accumulated Expenses (2019 - 2025)
Lion Group Holding's Accumulated Expenses was $4.07 million in Q4 2025, down 12.9% from $4.68 million a year earlier.
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Analysis
Lion Group Holding (LGHL) Accumulated Expenses (2019 - 2025) Analysis & Trends
From Q4 2019 onward, Lion Group Holding has reported Accumulated Expenses for 11 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -92.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $4.68 million in FY2024 (-100.0%), $2.2 trillion in FY2023 (+14.3%), $1.92 trillion in FY2022 and $1.62 million in FY2021 (-100.0%).
- The Q4 2025 figure marks the lowest quarterly Accumulated Expenses since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn |
| 10 | Lion Group Holding | 4.38 Mn | -44.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.07 Mn |
| Jun 30, 2025 | 4,673.34 Bn |
| Dec 31, 2024 | 4.68 Mn |
| Jun 30, 2024 | 4.60 Mn |
| Dec 31, 2023 | 2,198.70 Bn |
| Jun 30, 2023 | 1.87 Mn |
| Dec 31, 2022 | 1,923.31 Bn |
| Jun 30, 2022 | 1.81 Mn |
| Dec 31, 2021 | 1.62 Mn |
| Dec 31, 2020 | 1,802.27 Bn |
| Dec 31, 2019 | 417,445.00 |
API Access
Lion Group Holding Accumulated Expenses 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=accumulated-expenses&ticker=LGHL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LGHL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LGHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();