Global Indemnity (GBLI) Retained Earnings (2010 - 2025)
Global Indemnity (GBLI) posted Retained Earnings of $273.56 million for Q4 2025, up 1.8% from $268.67 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Global Indemnity (GBLI) Retained Earnings (2010 - 2025) Analysis & Trends
Since Q4 2010, Global Indemnity has reported Retained Earnings for 44 quarters.
- Annual Retained Earnings has increased for three consecutive years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Global Indemnity's Retained Earnings was $268.67 million in FY2024 (+9.7%), $244.99 million in FY2023 (+4.9%), $233.47 million in FY2022 (-6.4%) and $249.3 million in FY2021 (+6.1%).
- The Q4 2025 figure stands as the highest quarterly Retained Earnings since Q3 2018.
- On a year-over-year basis, Retained Earnings has increased in each of the last 12 quarters, with growth averaging 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q2 2023, with growth of 11.0%; the weakest was Q2 2022, with a decline of 10.2%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $272.23 million (Q3 2025), $264.82 million (Q2 2025) and $259.58 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 798.96 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 71.68 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 32.26 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 29.30 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 58.35 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 45.38 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 82.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 6.59 Bn |
| 10 | Global Indemnity | 350.27 Mn | -31.40 Mn | - | 273.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 273.56 Mn |
| Sep 30, 2025 | 272.23 Mn |
| Jun 30, 2025 | 264.82 Mn |
| Mar 31, 2025 | 259.58 Mn |
| Dec 31, 2024 | 268.67 Mn |
| Sep 30, 2024 | 264.55 Mn |
| Jun 30, 2024 | 256.68 Mn |
| Mar 31, 2024 | 251.47 Mn |
| Dec 31, 2023 | 244.99 Mn |
| Sep 30, 2023 | 242.52 Mn |
| Jun 30, 2023 | 238.32 Mn |
| Mar 31, 2023 | 232.51 Mn |
| Dec 31, 2022 | 233.47 Mn |
| Sep 30, 2022 | 234.69 Mn |
| Jun 30, 2022 | 214.76 Mn |
| Mar 31, 2022 | 230.77 Mn |
| Dec 31, 2021 | 249.30 Mn |
| Sep 30, 2021 | 227.85 Mn |
| Jun 30, 2021 | 239.27 Mn |
| Mar 31, 2021 | 236.69 Mn |
API Access
Global Indemnity Retained Earnings 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=retained-earnings&ticker=GBLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();