Top Ships (TOPS) Total Non-Current Liabilities (2009 - 2026)
Top Ships' Total Non-Current Liabilities came in at $250.32 million for the quarter ended Jun 30, 2026, up 0.2% from $249.84 million a year earlier.
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Analysis
Top Ships (TOPS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Top Ships' Total Non-Current Liabilities was $204.87 million, down 16.4% from the prior year.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 9.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Non-Current Liabilities was $245.16 million in the year ended Dec 31, 2024 (+4.6%), $234.44 million in the year ended Dec 31, 2023 (-2.4%), $240.08 million in the year ended Dec 31, 2022 (+110.0%) and $114.34 million in the year ended Dec 31, 2021 (-14.3%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Non-Current Liabilities since the quarter ended Jun 30, 2024.
- Year-over-year, Total Non-Current Liabilities increased in two of the last four quarters, with an average decline of 3.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in the quarter ended Dec 31, 2022 (growth of 110.0%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 18.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 48.79 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 27.16 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Top Ships | 1.12 Mn | 1.12 Mn | - | 250.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 250.32 Mn |
| Dec 31, 2025 | 204.87 Mn |
| Jun 30, 2025 | 249.84 Mn |
| Dec 31, 2024 | 245.16 Mn |
| Jun 30, 2024 | 255.63 Mn |
| Dec 31, 2023 | 234.44 Mn |
| Jun 30, 2023 | 203.21 Mn |
| Dec 31, 2022 | 240.08 Mn |
| Jun 30, 2022 | 249.33 Mn |
| Dec 31, 2021 | 114.34 Mn |
| Jun 30, 2021 | 174.85 Mn |
| Dec 31, 2020 | 133.40 Mn |
| Jun 30, 2020 | 261.81 Mn |
| Dec 31, 2019 | 263.72 Mn |
| Jun 30, 2019 | 249.61 Mn |
| Dec 31, 2018 | 117.39 Mn |
| Jun 30, 2018 | 85.02 Mn |
| Dec 31, 2017 | 87.59 Mn |
| Jun 30, 2017 | 93.80 Mn |
| Dec 31, 2016 | 76.02 Mn |
API Access
Top Ships Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TOPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();