Global Ship Lease (GSL) Accumulated Expenses (2009 - 2026)
Global Ship Lease (GSL) posted Accumulated Expenses of $41.64 million for the quarter ended Jun 30, 2026, up 1.5% from $41.03 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Global Ship Lease (GSL) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Global Ship Lease's Accumulated Expenses came in at $47.73 million, up 1.7% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 20.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Global Ship Lease's Accumulated Expenses was $46.93 million in the year ended Dec 31, 2024 (+64.4%), $28.54 million in the year ended Dec 31, 2023 (-20.8%), $36.04 million in the year ended Dec 31, 2022 (+11.7%) and $32.25 million in the year ended Dec 31, 2021 (+68.6%).
- Quarterly Accumulated Expenses has run from a low of $22.17 million in the quarter ended Sep 30, 2021 to a high of $47.95 million in the quarter ended Mar 31, 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 27.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Mar 31, 2022, with growth of 149.8%; the weakest was the quarter ended Dec 31, 2023, with a decline of 20.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $40.9 million (quarter ended Mar 31, 2026), $47.73 million (quarter ended Dec 31, 2025) and $43.22 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Global Ship Lease | 303.62 Mn | 303.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.64 Mn |
| Mar 31, 2026 | 40.90 Mn |
| Dec 31, 2025 | 47.73 Mn |
| Sep 30, 2025 | 43.22 Mn |
| Jun 30, 2025 | 41.03 Mn |
| Mar 31, 2025 | 47.95 Mn |
| Dec 31, 2024 | 46.93 Mn |
| Sep 30, 2024 | 38.56 Mn |
| Jun 30, 2024 | 29.11 Mn |
| Mar 31, 2024 | 26.02 Mn |
| Dec 31, 2023 | 28.54 Mn |
| Sep 30, 2023 | 29.25 Mn |
| Jun 30, 2023 | 29.62 Mn |
| Mar 31, 2023 | 29.49 Mn |
| Dec 31, 2022 | 36.04 Mn |
| Sep 30, 2022 | 25.16 Mn |
| Jun 30, 2022 | 28.19 Mn |
| Mar 31, 2022 | 28.13 Mn |
| Dec 31, 2021 | 32.25 Mn |
| Sep 30, 2021 | 22.17 Mn |
API Access
Global Ship Lease Accumulated 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=accumulated-expenses&ticker=GSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();