Global Ship Lease (GSL) Operating Expenses (2009 - 2026)
Global Ship Lease's Operating Expenses was $7.18 million in the quarter ended Jun 30, 2026, up 76.3% from $4.07 million a year earlier but down 18.9% from the prior quarter.
Global Ship Lease (GSL) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Ship Lease's Operating Expenses was $29.43 million through Jun 30, 2026, up 76.6% year-over-year; for the year ended Dec 31, 2025, it came in at -$331.3 million.
- In earlier years, Operating Expenses was -$332 million in the year ended Dec 31, 2024, -$331.6 million in the year ended Dec 31, 2023, -$291.4 million in the year ended Dec 31, 2022 and -$210.4 million in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has moved between $3.42 million (the quarter ended Sep 30, 2021) and $9.66 million (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 34.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Dec 31, 2025 (growth of 136.0%); the worst was the quarter ended Mar 31, 2023 (a decline of 23.2%).
- Per Business Quant data, GSL's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $8.85 million (quarter ended Mar 31, 2026), $9.66 million (quarter ended Dec 31, 2025) and $3.75 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Global Ship Lease | 1.47 Bn | 114.92 Mn | - | 56.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.99 Mn |
| Mar 31, 2026 | 52.72 Mn |
| Dec 31, 2025 | 55.86 Mn |
| Sep 30, 2025 | 52.05 Mn |
| Jun 30, 2025 | 50.51 Mn |
| Mar 31, 2025 | 50.01 Mn |
| Dec 31, 2024 | 49.63 Mn |
| Sep 30, 2024 | 46.59 Mn |
| Jun 30, 2024 | 47.18 Mn |
| Mar 31, 2024 | 47.86 Mn |
| Dec 31, 2023 | 46.95 Mn |
| Sep 30, 2023 | 46.10 Mn |
| Jun 30, 2023 | 43.41 Mn |
| Mar 31, 2023 | 42.76 Mn |
| Dec 31, 2022 | 45.56 Mn |
| Sep 30, 2022 | 41.00 Mn |
| Jun 30, 2022 | 41.44 Mn |
| Mar 31, 2022 | 39.44 Mn |
| Dec 31, 2021 | -297.09 Mn |
| Sep 30, 2021 | 34.29 Mn |
Global Ship Lease Operating Expenses 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=operating-expenses&ticker=GSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();