Top Ships (TOPS) Rent Expense (2009 - 2011)
Top Ships (TOPS) recorded Rent Expense of $10.3 million in the year ended Dec 31, 2025, down 5.2% from $10.87 million a year earlier.
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Analysis
Top Ships (TOPS) Rent Expense (2009 - 2011) Analysis & Trends
Starting with the year ended Dec 31, 2009, Top Ships' Rent Expense history includes 13 years.
- Annual Rent Expense has a five-year compound annual growth rate of 68.7% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the lowest annual Rent Expense since the year ended Dec 31, 2020.
- Per Business Quant data, TOPS's Rent Expense was $10.87 million in the year ended Dec 31, 2024 (+0.3%), $10.84 million in the year ended Dec 31, 2023 (unchanged), $10.84 million in the year ended Dec 31, 2022 (unchanged) and $10.84 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 214.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 97.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 1.25 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | - |
| 10 | Top Ships | 1.17 Mn | 1.17 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2011 | 475,000.00 |
| Mar 31, 2011 | 470,000.00 |
| Sep 30, 2009 | 21,000.00 |
| Jun 30, 2009 | 5.02 Mn |
| Mar 31, 2009 | 5.79 Mn |
API Access
Top Ships Rent Expense 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=rent-expense&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();