Everest (EG) Net Long-Term Debt Issued (Repaid) (2010 - 2020)
Everest (EG) reported Net Long-Term Debt Issued (Repaid) of $200 million for FY2024, down 33.3% from $300 million in FY2023.
Analysis
Everest (EG) Net Long-Term Debt Issued (Repaid) (2010 - 2020) Analysis & Trends
Dating back to FY2009, Everest's Net Long-Term Debt Issued (Repaid) record includes 10 years.
- Net Long-Term Debt Issued (Repaid) has a five-year compound annual growth rate of -7.8% (FY2019 to FY2024).
- The FY2024 figure ranks as the lowest annual Net Long-Term Debt Issued (Repaid) since FY2018.
- According to Business Quant data, Net Long-Term Debt Issued (Repaid) came in at $300 million in FY2023, $209 million in FY2021 (-32.6%) and $310 million in FY2020 (+3.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 493.00 Mn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | - |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | -637.00 Mn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 1.00 Mn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | - |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | - |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | - |
| 10 | Everest | 15.54 Bn | -71.36 Mn | 1.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 220.00 Mn |
| Jun 30, 2020 | -9.45 Mn |
| Mar 31, 2020 | -1.20 Mn |
| Jun 30, 2013 | -329.90 Mn |
| Sep 30, 2011 | -40.00 Mn |
| Mar 31, 2011 | -10.00 Mn |
| Dec 31, 2010 | -83.00 Mn |
| Sep 30, 2010 | -50.00 Mn |
| Jun 30, 2010 | 133.00 Mn |
| Mar 31, 2010 | -200.00 Mn |
API Access
Everest 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=EG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "EG", "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=EG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();