Globe Life (GL) Return on Sales [ROS] (2009 - 2026)
Globe Life (GL) reported Return on Sales [ROS] of -27.71% for Q2 2026, up 2.17 percentage points from -29.89% a year earlier and up 1.49 percentage points from the prior quarter.
Globe Life (GL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Globe Life's Return on Sales [ROS] came in at -23.74%, down 8.09 percentage points year-over-year; for FY2025, it came in at -24.16%, up 2.97 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -43.27 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -27.13% in FY2024 (-50.36 pp), 23.22% in FY2023 (+0.52 pp), 22.70% in FY2022 (-1.31 pp) and 24.01% in FY2021 (+4.90 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -29.89% in Q2 2025 and a high of 44.13% in Q4 2021.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -23.44 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2021 (a gain of 25.82 percentage points); the low point was Q2 2025 (a drop of 53.40 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -29.20% (Q1 2026), -28.39% (Q4 2025) and -9.22% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | 11.89% |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 14.54% |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 21.55% |
| 10 | Globe Life | 15.29 Bn | 14.53 Bn | 801.48 Mn | -27.71% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.71% |
| Mar 31, 2026 | -29.20% |
| Dec 31, 2025 | -28.39% |
| Sep 30, 2025 | -9.22% |
| Jun 30, 2025 | -29.89% |
| Mar 31, 2025 | -29.36% |
| Dec 31, 2024 | -29.08% |
| Sep 30, 2024 | 26.32% |
| Jun 30, 2024 | 23.51% |
| Mar 31, 2024 | 23.12% |
| Dec 31, 2023 | 23.12% |
| Sep 30, 2023 | 23.27% |
| Jun 30, 2023 | 23.40% |
| Mar 31, 2023 | 23.10% |
| Dec 31, 2022 | 23.07% |
| Sep 30, 2022 | 20.45% |
| Jun 30, 2022 | 24.12% |
| Mar 31, 2022 | 23.15% |
| Dec 31, 2021 | 44.13% |
| Sep 30, 2021 | 17.43% |
Globe Life 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=GL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GL", "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=GL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();