Global Ship Lease (GSL) Prepaid Assets (2009 - 2026)
Global Ship Lease's Prepaid Assets was $20.48 million in the quarter ended Jun 30, 2026, down 28.6% from $28.69 million a year earlier and down 21.1% from the prior quarter.
Global Ship Lease (GSL) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Prepaid Assets at Global Ship Lease came in at $33.62 million, up 5.2% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 38.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Prepaid Assets was $31.95 million in the year ended Dec 31, 2024 (-21.0%), $40.46 million in the year ended Dec 31, 2023 (+19.8%), $33.77 million in the year ended Dec 31, 2022 (+33.9%) and $25.22 million in the year ended Dec 31, 2021 (+275.9%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Prepaid Assets since the quarter ended Jun 30, 2021.
- Compared with a year earlier, Prepaid Assets was higher in two of the last eight quarters, with an average decline of 16.7%.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Dec 31, 2021 (growth of 275.9%); the worst was the quarter ended Sep 30, 2024 (a decline of 31.3%).
- Per Business Quant data, GSL's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $25.97 million (quarter ended Mar 31, 2026), $33.62 million (quarter ended Dec 31, 2025) and $31.85 million (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.48 Mn |
| Mar 31, 2026 | 25.97 Mn |
| Dec 31, 2025 | 33.62 Mn |
| Sep 30, 2025 | 31.85 Mn |
| Jun 30, 2025 | 28.69 Mn |
| Mar 31, 2025 | 32.10 Mn |
| Dec 31, 2024 | 31.95 Mn |
| Sep 30, 2024 | 28.86 Mn |
| Jun 30, 2024 | 39.42 Mn |
| Mar 31, 2024 | 41.04 Mn |
| Dec 31, 2023 | 40.46 Mn |
| Sep 30, 2023 | 42.03 Mn |
| Jun 30, 2023 | 36.25 Mn |
| Mar 31, 2023 | 39.33 Mn |
| Dec 31, 2022 | 33.77 Mn |
| Sep 30, 2022 | 24.62 Mn |
| Jun 30, 2022 | 22.43 Mn |
| Mar 31, 2022 | 23.08 Mn |
| Dec 31, 2021 | 25.22 Mn |
| Sep 30, 2021 | 20.70 Mn |
Global Ship Lease Prepaid Assets 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=prepaid-assets&ticker=GSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();