Top Ships (TOPS) Capital Expenditures (2009 - 2014)
Top Ships' Capital Expenditures came in at $9.31 million for the year ended Dec 31, 2025.
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Analysis
Top Ships (TOPS) Capital Expenditures (2009 - 2014) Analysis & Trends
Going back to the year ended Dec 31, 2009, Top Ships' Capital Expenditures data covers 14 years.
- Capital Expenditures carries a five-year compound annual growth rate of -40.1% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Capital Expenditures since the year ended Dec 31, 2022.
- Per Business Quant, earlier years put Capital Expenditures at $216.71 million in the year ended Dec 31, 2022 (+87.6%) and $115.51 million in the year ended Dec 31, 2021 (-4.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 873.00 Mn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 439.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | -551.77 Mn |
| 10 | Top Ships | 1.12 Mn | 1.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 27.71 Mn |
| Mar 31, 2014 | 6.00 Mn |
| Dec 31, 2010 | -511,482.00 |
| Dec 31, 2009 | 136.81 Mn |
| Sep 30, 2009 | -745,663.00 |
| Jun 30, 2009 | 320,000.00 |
| Mar 31, 2009 | 289,000.00 |
API Access
Top Ships Capital Expenditures 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=capital-expenditures&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();