Global Ship Lease (GSL) Return on Sales [ROS] (2009 - 2026)
Global Ship Lease (GSL) recorded Return on Sales [ROS] of 47.24% in the quarter ended Jun 30, 2026, down 5.80 percentage points from 53.04% a year earlier and down 1.94 percentage points from the prior quarter.
Global Ship Lease (GSL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Global Ship Lease's Return on Sales [ROS] came in at 50.76% as of Jun 30, 2026, down 5.84 percentage points year-over-year; for the year ended Dec 31, 2025, it was 56.78%, up 3.47 percentage points from the prior year.
- Annual Return on Sales [ROS] has a four-year change of +3.74 percentage points (years ended Dec 2021 to Dec 2025).
- Across earlier years, Return on Sales [ROS] came in at 53.32% in the year ended Dec 31, 2024 (+2.46 pp), 50.86% in the year ended Dec 31, 2023 (-4.00 pp), 54.86% in the year ended Dec 31, 2022 (+1.82 pp) and 53.04% in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Return on Sales [ROS] since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -0.31 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 16.59 percentage points in the quarter ended Sep 30, 2021, against a drop of 18.10 percentage points in the quarter ended Mar 31, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 49.18% (quarter ended Mar 31, 2026), 55.33% (quarter ended Dec 31, 2025) and 51.49% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Global Ship Lease | 314.90 Mn | 314.90 Mn | - | 47.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.24% |
| Mar 31, 2026 | 49.18% |
| Dec 31, 2025 | 55.33% |
| Sep 30, 2025 | 51.49% |
| Jun 30, 2025 | 53.04% |
| Mar 31, 2025 | 67.29% |
| Dec 31, 2024 | 52.63% |
| Sep 30, 2024 | 52.96% |
| Jun 30, 2024 | 53.62% |
| Mar 31, 2024 | 54.08% |
| Dec 31, 2023 | 44.08% |
| Sep 30, 2023 | 53.95% |
| Jun 30, 2023 | 52.51% |
| Mar 31, 2023 | 53.42% |
| Dec 31, 2022 | 51.59% |
| Sep 30, 2022 | 58.96% |
| Jun 30, 2022 | 54.12% |
| Mar 31, 2022 | 54.51% |
| Dec 31, 2021 | 53.54% |
| Sep 30, 2021 | 57.47% |
Global Ship Lease 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=GSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GSL", "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=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();