Top Ships (TOPS) Change in Accured Expenses (2013 - 2014)
Top Ships (TOPS) posted Change in Accured Expenses of $153,000 for the year ended Dec 31, 2025, down 81.4% from $821,000 a year earlier.
Analysis
Top Ships (TOPS) Change in Accured Expenses (2013 - 2014) Analysis & Trends
Since the year ended Dec 31, 2009, Top Ships has reported Change in Accured Expenses for 17 years.
- The figure for the year ended Dec 31, 2025 stands as the lowest annual Change in Accured Expenses since the year ended Dec 31, 2021.
- Business Quant data shows TOPS's Change in Accured Expenses at $821,000 in the year ended Dec 31, 2024 (+334.4%), $189,000 in the year ended Dec 31, 2023 (-82.3%), $1.07 million in the year ended Dec 31, 2022 and -$207,000 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Top Ships | 953,343.28 | 953,343.28 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -262,000.00 |
| Sep 30, 2014 | 76,000.00 |
| Jun 30, 2014 | 83,000.00 |
| Mar 31, 2014 | 108,000.00 |
| Dec 31, 2013 | -520,000.00 |
| Sep 30, 2013 | -54,000.00 |
| Jun 30, 2013 | 28,000.00 |
| Mar 31, 2013 | 66,000.00 |
API Access
Top Ships Change in Accured 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=change-in-accured-expenses&ticker=TOPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();