Global Indemnity (GBLI) Return on Sales [ROS] (2009 - 2026)
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.
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Analysis
Global Indemnity (GBLI) Return on Sales [ROS] (2009 - 2026) 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 | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -32.86% |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 22.27% |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.33% |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 17.70% |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 20.04% |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 7.83% |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 17.18% |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 19.73% |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.13% |
| 10 | Global Indemnity | 321.50 Mn | -154.79 Mn | 60.77 Mn | 4.61% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.61% |
| Jun 30, 2026 | 4.06% |
| Mar 31, 2026 | 34.11% |
| Dec 31, 2025 | 0.60% |
| Sep 30, 2025 | 8.75% |
| Jun 30, 2025 | 5.27% |
| Mar 31, 2025 | 21.09% |
| Dec 31, 2024 | 43.97% |
| Sep 30, 2024 | 42.51% |
| Jun 30, 2024 | 38.88% |
| Mar 31, 2024 | 41.11% |
| Dec 31, 2023 | 159.90% |
| Sep 30, 2023 | 11.70% |
| Jun 30, 2023 | 11.78% |
| Mar 31, 2023 | 6.25% |
| Dec 31, 2022 | 2.87% |
| Sep 30, 2022 | 23.25% |
| Jun 30, 2022 | 1.31% |
| Mar 31, 2022 | 5.00% |
| Dec 31, 2021 | 23.01% |
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();