Global Indemnity (GBLI) Enterprise Value (2010 - 2025)
Global Indemnity (GBLI) posted Enterprise Value of $306.52 million for Q4 2025, down 33.6% from $461.59 million a year earlier but up 0.1% from the prior quarter.
Global Indemnity (GBLI) Enterprise Value (2010 - 2025) Analysis & Trends
For FY2025, Global Indemnity's Enterprise Value came in at $287.76 million, down 37.7% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Global Indemnity's Enterprise Value was $461.59 million in FY2024 (+20.7%), $382.41 million in FY2023 (+36.0%), $281.21 million in FY2022 (+52.6%) and $184.29 million in FY2021 (-23.9%).
- Quarterly Enterprise Value has run from a low of $184.29 million in Q4 2021 to a high of $461.59 million in Q4 2024 over five years.
- On a year-over-year basis, Enterprise Value increased in five of the last eight quarters, with an average decline of 3.3%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2021, with growth of 450.4%; the weakest was Q4 2025, with a decline of 33.6%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $306.33 million (Q3 2025), $367.75 million (Q2 2025) and $384.17 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - |
| 10 | Global Indemnity | 347.27 Mn | -34.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 306.52 Mn |
| Sep 30, 2025 | 306.33 Mn |
| Jun 30, 2025 | 367.75 Mn |
| Mar 31, 2025 | 384.17 Mn |
| Dec 31, 2024 | 461.59 Mn |
| Sep 30, 2024 | 410.71 Mn |
| Jun 30, 2024 | 361.74 Mn |
| Mar 31, 2024 | 358.67 Mn |
| Dec 31, 2023 | 382.41 Mn |
| Sep 30, 2023 | 401.09 Mn |
| Jun 30, 2023 | 390.13 Mn |
| Mar 31, 2023 | 331.75 Mn |
| Dec 31, 2022 | 281.21 Mn |
| Sep 30, 2022 | 285.10 Mn |
| Jun 30, 2022 | 298.52 Mn |
| Mar 31, 2022 | 197.98 Mn |
| Dec 31, 2021 | 184.29 Mn |
| Sep 30, 2021 | 262.77 Mn |
| Jun 30, 2021 | 248.64 Mn |
| Mar 31, 2021 | 295.32 Mn |
Global Indemnity Enterprise Value 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=enterprise-value&ticker=GBLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();