Top Ships (TOPS) Property, Plant & Equipment (Net) (2009 - 2026)
Top Ships (TOPS) recorded Property, Plant & Equipment (Net) of $262.6 million in the quarter ended Jun 30, 2026, down 31.3% from $382.2 million a year earlier.
Top Ships (TOPS) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Top Ships reported Property, Plant & Equipment (Net) of $268.47 million, down 25.7% from the prior year.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, though with a five-year compound annual growth rate of 4.7% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $361.37 million in the year ended Dec 31, 2024 (-3.6%), $374.71 million in the year ended Dec 31, 2023 (-3.7%), $389.06 million in the year ended Dec 31, 2022 (+148.5%) and $156.59 million in the year ended Dec 31, 2021 (-26.7%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Property, Plant & Equipment (Net) since the quarter ended Dec 31, 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in 1 of the last four quarters, with an average decline of 14.2%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 148.5% in the quarter ended Dec 31, 2022, against a decline of 31.3% in the quarter ended Jun 30, 2026 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 60.63 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 37.14 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 40.23 Bn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 37.89 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 36.86 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 42.21 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 49.37 Bn |
| 10 | Top Ships | 1.39 Mn | -48.03 Mn | - | 326.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 326.05 Mn |
| Dec 31, 2025 | 287.18 Mn |
| Jun 30, 2025 | 395.45 Mn |
| Dec 31, 2024 | 361.88 Mn |
| Jun 30, 2024 | 383.22 Mn |
| Dec 31, 2023 | 394.69 Mn |
| Jun 30, 2023 | 406.48 Mn |
| Dec 31, 2022 | 418.27 Mn |
| Jun 30, 2022 | 429.82 Mn |
| Dec 31, 2021 | 224.98 Mn |
| Jun 30, 2021 | 277.57 Mn |
| Dec 31, 2020 | 213.72 Mn |
| Jun 30, 2020 | 388.94 Mn |
| Dec 31, 2019 | 366.84 Mn |
| Jun 30, 2019 | 383.93 Mn |
| Dec 31, 2018 | 220.05 Mn |
| Jun 30, 2018 | 180.68 Mn |
| Dec 31, 2017 | 162.73 Mn |
| Jun 30, 2017 | 159.11 Mn |
| Dec 31, 2016 | 127.33 Mn |
Top Ships Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TOPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();