Global Ship Lease (GSL) EPS (Diluted) (2009 - 2026)
Global Ship Lease (GSL) recorded EPS (Diluted) of $2.62 in the quarter ended Jun 30, 2026, down 4.9% from $2.75 a year earlier and down 2.2% from the prior quarter.
Global Ship Lease (GSL) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Global Ship Lease's EPS (Diluted) came in at $10.79 as of Jun 30, 2026, down 3.4% year-over-year; for the year ended Dec 31, 2025, it was $0.99, up 0.1% from the prior year.
- Annual EPS (Diluted) has a four-year compound annual growth rate of 0.1% (years ended Dec 2021 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $0.99 in the year ended Dec 31, 2024 (+0.7%), $0.99 in the year ended Dec 31, 2023 (-4.4%), $1.03 in the year ended Dec 31, 2022 (+4.3%) and $0.99 in the year ended Dec 31, 2021.
- Quarterly EPS (Diluted) has ranged from $1.37 in the quarter ended Jun 30, 2022 to $3.54 in the quarter ended Mar 31, 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in five of the last eight quarters, with growth averaging 10.4%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 45.4% in the quarter ended Jun 30, 2023, against a decline of 24.3% in the quarter ended Mar 31, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.68 (quarter ended Mar 31, 2026), $2.92 (quarter ended Dec 31, 2025) and $2.60 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 3.36 |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 0.54 |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 0.71 |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 0.83 |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 3.26 |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 6.68 |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 1.15 |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.68 |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 2.46 |
| 10 | Global Ship Lease | 1.47 Bn | 114.92 Mn | - | 2.48 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 |
| Mar 31, 2026 | 2.54 |
| Dec 31, 2025 | 2.79 |
| Sep 30, 2025 | 2.60 |
| Jun 30, 2025 | 2.62 |
| Mar 31, 2025 | 3.40 |
| Dec 31, 2024 | 2.53 |
| Sep 30, 2024 | 2.19 |
| Jun 30, 2024 | 2.38 |
| Mar 31, 2024 | 2.49 |
| Dec 31, 2023 | 1.80 |
| Sep 30, 2023 | 2.22 |
| Jun 30, 2023 | 2.03 |
| Mar 31, 2023 | 1.94 |
| Dec 31, 2022 | 1.95 |
| Sep 30, 2022 | 2.52 |
| Jun 30, 2022 | 1.50 |
| Mar 31, 2022 | 1.91 |
| Dec 31, 2021 | 1.86 |
| Sep 30, 2021 | 3.54 |
Global Ship Lease EPS (Diluted) 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=eps-diluted&ticker=GSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();