Top Ships (TOPS) Accumulated Expenses (2009 - 2026)
Top Ships (TOPS) posted Accumulated Expenses of $1.36 million for the quarter ended Jun 30, 2026, down 56.5% from $3.12 million a year earlier.
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Analysis
Top Ships (TOPS) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Top Ships' Accumulated Expenses came in at $1.52 million, down 49.2% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 9.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Top Ships' Accumulated Expenses was $2.99 million in the year ended Dec 31, 2024 (+27.1%), $2.36 million in the year ended Dec 31, 2023 (+14.3%), $2.06 million in the year ended Dec 31, 2022 (+80.0%) and $1.15 million in the year ended Dec 31, 2021 (+19.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Accumulated Expenses since the quarter ended Dec 31, 2021.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last four quarters, with an average decline of 22.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Dec 31, 2022, with growth of 80.0%; the weakest was the quarter ended Jun 30, 2026, with a decline of 56.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Top Ships | 1.04 Mn | 1.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 Mn |
| Dec 31, 2025 | 1.52 Mn |
| Jun 30, 2025 | 3.12 Mn |
| Dec 31, 2024 | 2.99 Mn |
| Jun 30, 2024 | 3.49 Mn |
| Dec 31, 2023 | 2.36 Mn |
| Jun 30, 2023 | 2.08 Mn |
| Dec 31, 2022 | 2.06 Mn |
| Jun 30, 2022 | 1.74 Mn |
| Dec 31, 2021 | 1.15 Mn |
| Jun 30, 2021 | 1.38 Mn |
| Dec 31, 2020 | 959,000.00 |
| Jun 30, 2020 | 2.54 Mn |
| Dec 31, 2019 | 4.03 Mn |
| Jun 30, 2019 | 4.13 Mn |
| Dec 31, 2018 | 2.96 Mn |
| Jun 30, 2018 | 2.39 Mn |
| Dec 31, 2017 | 1.99 Mn |
| Jun 30, 2017 | 2.58 Mn |
| Dec 31, 2016 | 2.97 Mn |
API Access
Top Ships Accumulated Expenses 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=accumulated-expenses&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();