Lion Group Holding (LGHL) Other Accumulated Expenses (2018 - 2025)
Lion Group Holding's Other Accumulated Expenses came in at $27.74 million for Q2 2025, down 98.7% from $2.18 billion a year earlier.
Analysis
Lion Group Holding (LGHL) Other Accumulated Expenses (2018 - 2025) Analysis & Trends
At the end of FY2023, Lion Group Holding's Other Accumulated Expenses was $4.2 billion, down 97.1% from FY2022.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 84.6% (FY2018 to FY2023).
- Going back by year, Other Accumulated Expenses was $146.67 billion in FY2022, $913.68 million in FY2021 (-99.4%), $149.52 billion in FY2020 and $16,973 in FY2019 (-100.0%).
- The Q2 2025 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | Lion Group Holding | 4.22 Mn | -44.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 27.74 Mn |
| Jun 30, 2024 | 2.18 Bn |
| Dec 31, 2023 | 4.20 Bn |
| Jun 30, 2023 | 1.50 Bn |
| Dec 31, 2022 | 3.74 Bn |
| Jun 30, 2022 | 1.37 Bn |
| Dec 31, 2021 | 913.68 Mn |
| Jun 30, 2021 | 553.76 Bn |
| Dec 31, 2020 | 651.32 Mn |
| Jun 30, 2020 | 199.95 Mn |
| Dec 31, 2019 | 16,973.00 |
| Dec 31, 2018 | 195.93 Mn |
API Access
Lion Group Holding Other 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=other-accumulated-expenses&ticker=LGHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=LGHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();