Top Ships (TOPS) Sales of Property, Plant and Equipment (2009 - 2013)
Top Ships' Sales of Property, Plant and Equipment was $19.5 million in the year ended Dec 31, 2025.
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Analysis
Top Ships (TOPS) Sales of Property, Plant and Equipment (2009 - 2013) Analysis & Trends
From the year ended Dec 31, 2009 onward, Top Ships has reported Sales of Property, Plant and Equipment for 11 years.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 254.2% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the highest annual Sales of Property, Plant and Equipment since the year ended Dec 31, 2021.
- Per Business Quant data, Sales of Property, Plant and Equipment in earlier years was $40,000 in the year ended Dec 31, 2022 (-99.9%) and $35.89 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 73.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 2.89 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 15.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 116.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 24.00 Mn |
| 10 | Top Ships | 953,343.28 | 953,343.28 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 15,000.00 |
| Mar 31, 2013 | 50,000.00 |
| Dec 31, 2010 | 19.23 Mn |
| Mar 31, 2010 | 244,000.00 |
| Dec 31, 2009 | -48,000.00 |
| Sep 30, 2009 | 7,000.00 |
| Mar 31, 2009 | 197,000.00 |
API Access
Top Ships Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();