Lion Group Holding (LGHL) Debt Ratio (2019 - 2025)
Lion Group Holding's (LGHL) Debt Ratio stood at 2209031044.61 in Q4 2025, compared with 89640.33 a year earlier.
Powered by 
Analysis
Lion Group Holding (LGHL) Debt Ratio (2019 - 2025) Analysis & Trends
Starting with Q4 2019, Lion Group Holding's Debt Ratio history includes 13 quarters.
- Across earlier years, Debt Ratio came in at 89640.33 in FY2024, 1475.63 in FY2023 (+16.2%), 1269.70 in FY2022 (+71.9%) and 738.67 in FY2021 (-94.2%).
- The Q4 2025 figure is the highest quarterly Debt Ratio in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 0.01 |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 0.02 |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 0.11 |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 0.32 |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 0.00 |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 0.05 |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 0.14 |
| 10 | Lion Group Holding | 5.97 Mn | -44.72 Bn | - | 2.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.21 Bn |
| Jun 30, 2025 | 209.47 Mn |
| Dec 31, 2024 | 89,640.33 |
| Jun 30, 2024 | 0.02 |
| Dec 31, 2023 | 1,475.63 |
| Jun 30, 2023 | 1,168.24 |
| Dec 31, 2022 | 1,269.70 |
| Jun 30, 2022 | 1,065.53 |
| Dec 31, 2021 | 738.67 |
| Jun 30, 2021 | 0.28 |
| Dec 31, 2020 | 12,830.88 |
| Jun 30, 2020 | 0.03 |
| Dec 31, 2019 | 0.11 |
API Access
Lion Group Holding Debt Ratio 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=debt-ratio&ticker=LGHL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=LGHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();