Global Indemnity (GBLI) Operating Income (2009 - 2026)
Global Indemnity (GBLI) recorded Operating Income of $56.48 million in Q3 2025, up 5.7% from $53.44 million a year earlier and up 12.9% from the prior quarter.
Global Indemnity (GBLI) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, Global Indemnity's Operating Income came in at $192.37 million as of Sep 30, 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -34.72 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 3.61 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 3.32 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 1.22 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 2.49 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 683.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 809.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.00 Mn |
| 10 | Global Indemnity | 321.50 Mn | -154.79 Mn | 60.77 Mn | 5.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.21 Mn |
| Jun 30, 2026 | 4.71 Mn |
| Mar 31, 2026 | 37.24 Mn |
| Dec 31, 2025 | 706,000.00 |
| Sep 30, 2025 | 9.99 Mn |
| Jun 30, 2025 | 5.82 Mn |
| Mar 31, 2025 | 22.91 Mn |
| Dec 31, 2024 | 47.69 Mn |
| Sep 30, 2024 | 47.52 Mn |
| Jun 30, 2024 | 42.26 Mn |
| Mar 31, 2024 | 46.16 Mn |
| Dec 31, 2023 | 174.71 Mn |
| Sep 30, 2023 | 14.74 Mn |
| Jun 30, 2023 | 16.71 Mn |
| Mar 31, 2023 | 9.44 Mn |
| Dec 31, 2022 | 4.46 Mn |
| Sep 30, 2022 | 45.25 Mn |
| Jun 30, 2022 | 2.03 Mn |
| Mar 31, 2022 | 7.44 Mn |
| Dec 31, 2021 | 43.52 Mn |
Global Indemnity Operating Income 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=operating-income&ticker=GBLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();