Reliance Global (EZRA) Net Long-Term Debt Issued (Repaid) (2020 - 2026)
Reliance Global's Non-Current Debt was -$855,000 in FY2023, compared with $1.5 million in FY2022.
Analysis
Reliance Global (EZRA) Net Long-Term Debt Issued (Repaid) (2020 - 2026) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier years was $1.5 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -185.00 Mn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 493.00 Mn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | - |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | -637.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | - |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 1.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | - |
| 10 | Reliance Global | 1.57 Mn | -9.71 Mn | - | -205,808.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -205,808.00 |
| Mar 31, 2026 | -823,327.00 |
| Dec 31, 2025 | 4,118.00 |
| Jun 30, 2025 | 631,947.00 |
| Mar 31, 2025 | 510,219.00 |
| Dec 31, 2024 | -505,340.00 |
| Sep 30, 2024 | -435,449.00 |
| Jun 30, 2024 | -645,694.00 |
| Mar 31, 2024 | -472,153.00 |
| Dec 31, 2023 | -417,507.00 |
| Sep 30, 2023 | -617,474.00 |
| Jun 30, 2023 | -480,725.00 |
| Mar 31, 2023 | -275,080.00 |
| Dec 31, 2022 | -222,040.00 |
| Sep 30, 2022 | -367,773.00 |
| Jun 30, 2022 | -231,507.00 |
| Mar 31, 2022 | -237,942.00 |
| Jun 30, 2021 | -591,268.00 |
| Mar 31, 2021 | -346,941.00 |
| Dec 31, 2020 | -1.24 Mn |
API Access
Reliance Global Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=EZRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "EZRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=EZRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();