Global Indemnity (GBLI) Net Short-Term Debt Issued (Repaid) (2017 - 2020)
Global Indemnity (GBLI) posted Net Short-Term Debt Issued (Repaid) of -$73.63 million for FY2020, compared with $7.81 million in FY2019.
Analysis
Global Indemnity (GBLI) Net Short-Term Debt Issued (Repaid) (2017 - 2020) Analysis & Trends
Since FY2013, Global Indemnity has reported Net Short-Term Debt Issued (Repaid) for 8 years.
- The FY2020 figure stands as the lowest annual Net Short-Term Debt Issued (Repaid) since FY2015.
- Business Quant data shows GBLI's Net Short-Term Debt Issued (Repaid) at $7.81 million in FY2019, -$6.41 million in FY2018, $5.58 million in FY2017 and -$9 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | -187.00 Mn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | - |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 599.00 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 | - | 90.00 Mn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | -300.00 Mn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | - |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | - |
| 10 | Global Indemnity | 318.39 Mn | -63.28 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -74.59 Mn |
| Jun 30, 2020 | 2.88 Mn |
| Mar 31, 2020 | -1.92 Mn |
| Dec 31, 2019 | -750,000.00 |
| Sep 30, 2019 | 5.15 Mn |
| Jun 30, 2019 | -2.54 Mn |
| Mar 31, 2019 | 5.95 Mn |
| Dec 31, 2018 | 6.41 Mn |
| Sep 30, 2018 | -5.30 Mn |
| Jun 30, 2018 | 691,000.00 |
| Mar 31, 2018 | -8.21 Mn |
| Dec 31, 2017 | -4.29 Mn |
| Sep 30, 2017 | 2.63 Mn |
API Access
Global Indemnity Net Short-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=current-debt&ticker=GBLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "ticker": "GBLI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-debt&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();