Global Indemnity (GBLI) Payout Ratio (2020 - 2024)
Global Indemnity's (GBLI) Payout Ratio stood at 1.72 in Q4 2024, up 202.1% from 0.57 a year earlier and up 312.0% from the prior quarter.
Analysis
Global Indemnity (GBLI) Payout Ratio (2020 - 2024) Analysis & Trends
Starting with Q3 2020, Global Indemnity's Payout Ratio history includes 14 quarters.
- Across earlier years, Payout Ratio came in at 0.57 in FY2023 and 0.50 in FY2021.
- The Q4 2024 figure is the highest quarterly Payout Ratio since Q3 2021.
- On a year-over-year basis, Payout Ratio rose in three of the last six quarters, with growth averaging 20.6%.
- Peak year-over-year performance for Payout Ratio in the last five years was growth of 237.1% in Q1 2022, against a decline of 82.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.42 (Q3 2024), 0.48 (Q2 2024) and 0.45 (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Global Indemnity | 350.27 Mn | -31.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.72 |
| Sep 30, 2024 | 0.42 |
| Jun 30, 2024 | 0.48 |
| Mar 31, 2024 | 0.45 |
| Dec 31, 2023 | 0.57 |
| Sep 30, 2023 | 0.68 |
| Jun 30, 2023 | 0.39 |
| Mar 31, 2023 | 0.92 |
| Sep 30, 2022 | 0.51 |
| Mar 31, 2022 | 1.68 |
| Dec 31, 2021 | 0.50 |
| Sep 30, 2021 | 2.92 |
| Mar 31, 2021 | 0.50 |
| Sep 30, 2020 | 2.62 |
API Access
Global Indemnity Payout Ratio 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=payout-ratio&ticker=GBLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();