Global Ship Lease (GSL) Amortization - Intangibles (2021 - 2026)
Global Ship Lease's Amortization - Intangibles came in at -$6.43 million for the quarter ended Jun 30, 2026, compared with -$3.32 million a year earlier.
Global Ship Lease (GSL) Amortization - Intangibles (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global Ship Lease reported Amortization - Intangibles of -$14.35 million; for the year ended Dec 31, 2025, it was -$13.49 million.
- Going back by year, Amortization - Intangibles was -$5.53 million in the year ended Dec 31, 2024, -$8.08 million in the year ended Dec 31, 2023, -$41.16 million in the year ended Dec 31, 2022 and -$45.43 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Amortization - Intangibles since the quarter ended Dec 31, 2022.
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 | -6.43 Mn |
| Dec 31, 2025 | -3.60 Mn |
| Jun 30, 2025 | -3.32 Mn |
| Dec 31, 2024 | -1.00 Mn |
| Dec 31, 2023 | -1.52 Mn |
| Dec 31, 2022 | -8.43 Mn |
| Dec 31, 2021 | -18.36 Mn |
Global Ship Lease Amortization - Intangibles 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=amortization-intangibles&ticker=GSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=GSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();