Global Indemnity (GBLI) Return on Sales [ROS] (2010 - 2025)
Global Indemnity (GBLI) reported Return on Sales [ROS] of 49.46% for Q3 2025, up 1.64 percentage points from 47.81% a year earlier and up 4.18 percentage points from the prior quarter.
Powered by 
Analysis
Global Indemnity (GBLI) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Global Indemnity's Return on Sales [ROS] came in at 34.19%, down 2.77 percentage points year-over-year; for FY2024, it was 12.46%, up 6.21 percentage points from FY2023.
- Return on Sales [ROS] has a five-year change of -4.38 percentage points (FY2019 to FY2024).
- By year, Return on Sales [ROS] came in at 6.24% in FY2023 (+5.45 pp), 0.79% in FY2022 (-5.59 pp), 6.38% in FY2021 (+8.66 pp) and -2.28% in FY2020 (-19.12 pp).
- The Q3 2025 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2014.
- Year over year, Return on Sales [ROS] gained in seven of the last eight quarters, with an average year-over-year change of +14.60 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 44.75 percentage points); the low point was Q4 2020 (a drop of 25.89 percentage points).
- Per Business Quant data, the three quarters before Q3 2025 came in at 45.28% (Q2 2025), 29.83% (Q1 2025) and 11.17% (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Global Indemnity | 348.12 Mn | -33.54 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 49.46% |
| Jun 30, 2025 | 45.28% |
| Mar 31, 2025 | 29.83% |
| Dec 31, 2024 | 11.17% |
| Sep 30, 2024 | 47.81% |
| Jun 30, 2024 | 44.75% |
| Mar 31, 2024 | 46.78% |
| Dec 31, 2023 | 7.99% |
| Sep 30, 2023 | 7.51% |
| Jun 30, 2023 | 8.26% |
| Mar 31, 2023 | 2.03% |
| Dec 31, 2022 | 1.13% |
| Sep 30, 2022 | 16.03% |
| Jun 30, 2022 | -7.95% |
| Mar 31, 2022 | -10.48% |
| Dec 31, 2021 | 17.10% |
| Sep 30, 2021 | -4.12% |
| Jun 30, 2021 | 6.03% |
| Mar 31, 2021 | 5.01% |
| Dec 31, 2020 | 2.73% |
API Access
Global Indemnity Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GBLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();