Global Indemnity (GBLI) Cash & Equivalents (2010 - 2025)
Global Indemnity (GBLI) posted Cash & Equivalents of $65.54 million for Q4 2025, up 285.3% from $17.01 million a year earlier but down 13.0% from the prior quarter.
Analysis
Global Indemnity (GBLI) Cash & Equivalents (2010 - 2025) Analysis & Trends
Since Q2 2010, Global Indemnity has reported Cash & Equivalents for 50 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Global Indemnity's Cash & Equivalents was $17.01 million in FY2024 (-55.3%), $38.04 million in FY2023 (-2.1%), $38.85 million in FY2022 (-50.4%) and $78.28 million in FY2021 (+16.2%).
- Quarterly Cash & Equivalents has run from a low of $17.01 million in Q4 2024 to a high of $157.9 million in Q1 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 63.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2025, with growth of 285.3%; the weakest was Q1 2023, with a decline of 77.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $75.36 million (Q3 2025), $67.34 million (Q2 2025) and $81.15 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.70 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 | 19.30 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 1.39 Bn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 1.06 Bn |
| 10 | Global Indemnity | 348.12 Mn | -33.54 Mn | - | 65.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 65.54 Mn |
| Sep 30, 2025 | 75.36 Mn |
| Jun 30, 2025 | 67.34 Mn |
| Mar 31, 2025 | 81.15 Mn |
| Dec 31, 2024 | 17.01 Mn |
| Sep 30, 2024 | 31.02 Mn |
| Jun 30, 2024 | 46.73 Mn |
| Mar 31, 2024 | 38.86 Mn |
| Dec 31, 2023 | 38.04 Mn |
| Sep 30, 2023 | 46.47 Mn |
| Jun 30, 2023 | 45.45 Mn |
| Mar 31, 2023 | 35.74 Mn |
| Dec 31, 2022 | 38.85 Mn |
| Sep 30, 2022 | 18.89 Mn |
| Jun 30, 2022 | 59.84 Mn |
| Mar 31, 2022 | 157.90 Mn |
| Dec 31, 2021 | 78.28 Mn |
| Sep 30, 2021 | 40.58 Mn |
| Jun 30, 2021 | 49.11 Mn |
| Mar 31, 2021 | 47.47 Mn |
API Access
Global Indemnity Cash & Equivalents 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=cash-and-equivalents&ticker=GBLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();