Top Ships (TOPS) Total Liabilities (2009 - 2026)
Top Ships' Total Liabilities came in at $296.82 million for the quarter ended Jun 30, 2026, down 0.7% from $298.86 million a year earlier.
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Analysis
Top Ships (TOPS) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Top Ships' Total Liabilities was $244.42 million, down 12.2% from the prior year.
- Total Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 7.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $278.35 million in the year ended Dec 31, 2024 (-12.9%), $319.73 million in the year ended Dec 31, 2023 (-10.9%), $358.67 million in the year ended Dec 31, 2022 (+51.0%) and $237.57 million in the year ended Dec 31, 2021 (+37.9%).
- The five-year range for quarterly Total Liabilities is $237.57 million (the quarter ended Dec 31, 2021) to $386.81 million (the quarter ended Jun 30, 2022).
- Year-over-year, Total Liabilities increased in 1 of the last four quarters, with an average decline of 5.6%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Jun 30, 2022 (growth of 60.2%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 17.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Top Ships | 1.17 Mn | 1.17 Mn | - | 296.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 296.82 Mn |
| Dec 31, 2025 | 244.42 Mn |
| Jun 30, 2025 | 298.86 Mn |
| Dec 31, 2024 | 278.35 Mn |
| Jun 30, 2024 | 288.88 Mn |
| Dec 31, 2023 | 319.73 Mn |
| Jun 30, 2023 | 320.67 Mn |
| Dec 31, 2022 | 358.67 Mn |
| Jun 30, 2022 | 386.81 Mn |
| Dec 31, 2021 | 237.57 Mn |
| Jun 30, 2021 | 241.43 Mn |
| Dec 31, 2020 | 172.33 Mn |
| Jun 30, 2020 | 303.97 Mn |
| Dec 31, 2019 | 357.22 Mn |
| Jun 30, 2019 | 329.33 Mn |
| Dec 31, 2018 | 154.21 Mn |
| Jun 30, 2018 | 120.62 Mn |
| Dec 31, 2017 | 113.17 Mn |
| Jun 30, 2017 | 113.72 Mn |
| Dec 31, 2016 | 97.80 Mn |
API Access
Top Ships Total 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-liabilities&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();