Global Indemnity (GBLI) EBITDA (2010 - 2025)
Global Indemnity's EBITDA came in at $57.78 million for Q3 2025, up 5.5% from $54.77 million a year earlier and up 12.3% from the prior quarter.
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Analysis
Global Indemnity (GBLI) EBITDA (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Global Indemnity reported EBITDA of $156.96 million, down 7.0% year-over-year; for FY2024, it came in at $60.72 million, up 55.0% from FY2023.
- EBITDA carries a five-year compound annual growth rate of -11.0% (FY2019 to FY2024).
- Going back by year, EBITDA was $39.18 million in FY2023 (+192.9%), $13.37 million in FY2022 (-75.1%), $53.7 million in FY2021 and -$6.29 million in FY2020.
- The Q3 2025 figure represents the highest quarterly EBITDA in data going back to Q3 2010.
- Year-over-year, EBITDA increased in six of the last seven quarters, with growth averaging 122.2%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2021 (growth of 536.6%), and the weakest in Q4 2022 (a decline of 89.8%).
- Business Quant data shows GBLI's EBITDA at $51.44 million (Q2 2025), $33.86 million (Q1 2025) and $13.89 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.53 Bn | 84.11 Bn | 9.13 Bn | - |
| 2 | Progressive | 128.82 Bn | 104.65 Bn | 9.04 Bn | -10.28 Bn |
| 3 | Marsh & Mclennan Companies | 90.40 Bn | 82.56 Bn | - | 1.45 Bn |
| 4 | Travelers Companies | 83.72 Bn | 59.97 Bn | 6.23 Bn | -1.20 Bn |
| 5 | Manulife Financial | 77.18 Bn | -17.70 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.26 Bn | 60.67 Bn | - | 943.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | - |
| 8 | Allstate | 64.07 Bn | 25.34 Bn | 8.73 Bn | -5.63 Bn |
| 9 | Aon | 62.75 Bn | 55.96 Bn | - | 1.14 Bn |
| 10 | Global Indemnity | 338.69 Mn | -42.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 57.78 Mn |
| Jun 30, 2025 | 51.44 Mn |
| Mar 31, 2025 | 33.86 Mn |
| Dec 31, 2024 | 13.89 Mn |
| Sep 30, 2024 | 54.77 Mn |
| Jun 30, 2024 | 50.00 Mn |
| Mar 31, 2024 | 53.84 Mn |
| Dec 31, 2023 | 10.12 Mn |
| Sep 30, 2023 | 10.92 Mn |
| Jun 30, 2023 | 13.38 Mn |
| Mar 31, 2023 | 4.75 Mn |
| Dec 31, 2022 | 3.72 Mn |
| Sep 30, 2022 | 34.36 Mn |
| Jun 30, 2022 | -10.71 Mn |
| Mar 31, 2022 | -13.95 Mn |
| Dec 31, 2021 | 36.71 Mn |
| Sep 30, 2021 | -4.94 Mn |
| Jun 30, 2021 | 12.17 Mn |
| Mar 31, 2021 | 9.90 Mn |
| Dec 31, 2020 | 5.80 Mn |
API Access
Global Indemnity EBITDA 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=ebitda&ticker=GBLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();