Top Ships (TOPS) Long-Term Debt Repayments (2009 - 2013)
Top Ships' Long-Term Debt Repayments came in at $9 million for the year ended Dec 31, 2025.
Analysis
Top Ships (TOPS) Long-Term Debt Repayments (2009 - 2013) Analysis & Trends
Going back to the year ended Dec 31, 2009, Top Ships' Long-Term Debt Repayments data covers 14 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -49.3% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Long-Term Debt Repayments since the year ended Dec 31, 2022.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $68.89 million in the year ended Dec 31, 2022 (+143.3%) and $28.31 million in the year ended Dec 31, 2021 (-89.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 7.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 254.47 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 39.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.34 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 536.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -1.52 Bn |
| 10 | Top Ships | 1.04 Mn | 1.04 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 21.56 Mn |
| Jun 30, 2013 | -28.60 Mn |
| Mar 31, 2013 | 4.23 Mn |
| Jun 30, 2011 | -6.09 Mn |
| Mar 31, 2011 | -8.30 Mn |
| Dec 31, 2010 | 77.62 Mn |
| Sep 30, 2010 | -16.88 Mn |
| Jun 30, 2010 | -8.67 Mn |
| Mar 31, 2010 | -11.41 Mn |
| Dec 31, 2009 | 90.00 Mn |
| Sep 30, 2009 | -35.72 Mn |
| Jun 30, 2009 | 13.30 Mn |
| Mar 31, 2009 | -22.80 Mn |
API Access
Top Ships Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TOPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();