Globe Life (GL) Liabilities from Discontinued Operations (2009 - 2019)
Globe Life (GL) posted Liabilities from Discontinued Operations of $51.43 million for Q1 2019, up 2.4% from $50.24 million a year earlier and up 0.5% from the prior quarter.
Globe Life (GL) Liabilities from Discontinued Operations (2009 - 2019) Analysis & Trends
At the end of FY2018, Globe Life's Liabilities from Discontinued Operations came in at $51.19 million, up 2.7% from FY2017.
- Annual Liabilities from Discontinued Operations shows a four-year compound annual growth rate of 7.1% (FY2014 to FY2018).
- In prior years, Globe Life's Liabilities from Discontinued Operations was $49.85 million in FY2017 (+81.8%), $27.42 million in FY2016 (-46.3%), $51.04 million in FY2015 (+31.3%) and $38.88 million in FY2014.
- The Q1 2019 figure stands as the highest quarterly Liabilities from Discontinued Operations since Q3 2016.
- On a year-over-year basis, Liabilities from Discontinued Operations has increased in each of the last six quarters, with growth averaging 40.6% over the last eight quarters.
- The strongest year-over-year quarter for Liabilities from Discontinued Operations in the past five years was Q1 2018, with growth of 266.0%; the weakest was Q1 2017, with a decline of 72.3%.
- According to Business Quant data, Liabilities from Discontinued Operations for the three prior quarters was $51.19 million (Q4 2018), $50.22 million (Q3 2018) and $49.47 million (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - |
| 10 | Globe Life | 13.01 Bn | 12.25 Bn | 801.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 51.43 Mn |
| Dec 31, 2018 | 51.19 Mn |
| Sep 30, 2018 | 50.22 Mn |
| Jun 30, 2018 | 49.47 Mn |
| Mar 31, 2018 | 50.24 Mn |
| Dec 31, 2017 | 49.85 Mn |
| Sep 30, 2017 | 49.33 Mn |
| Jun 30, 2017 | 39.15 Mn |
| Mar 31, 2017 | 13.72 Mn |
| Dec 31, 2016 | 27.42 Mn |
| Sep 30, 2016 | 62.42 Mn |
| Jun 30, 2016 | 60.39 Mn |
| Mar 31, 2016 | 49.56 Mn |
| Dec 31, 2015 | 51.04 Mn |
| Dec 31, 2014 | 38.88 Mn |
| Dec 31, 2009 | 1.32 Bn |
Globe Life Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=GL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "ticker": "GL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=liabilities-from-discontinued-operations&ticker=GL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();