Global Indemnity (GBLI) Asset Writedowns and Impairment (2017 - 2021)
Global Indemnity's Asset Writedowns and Impairment was $5.66 million in FY2022, up 182.9% from $2 million in FY2021.
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Analysis
Global Indemnity (GBLI) Asset Writedowns and Impairment (2017 - 2021) Analysis & Trends
From FY2016 onward, Global Indemnity has reported Asset Writedowns and Impairment for 5 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 16.8% (FY2017 to FY2022).
- The FY2022 figure marks the highest annual Asset Writedowns and Impairment since FY2016.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $2 million in FY2021 and $456,000 in FY2018 (-82.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Global Indemnity | 348.12 Mn | -33.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 2.00 Mn |
| Dec 31, 2019 | -1.90 Mn |
| Mar 31, 2019 | 1.90 Mn |
| Dec 31, 2018 | 61,000.00 |
| Sep 30, 2018 | 24,000.00 |
| Jun 30, 2018 | 371,000.00 |
| Dec 31, 2017 | 898,000.00 |
| Sep 30, 2017 | 1.02 Mn |
API Access
Global Indemnity Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GBLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();