Top Ships (TOPS) Change in Receivables (2013 - 2014)
Top Ships' Change in Receivables came in at $34,000 for the year ended Dec 31, 2025, compared with -$3.2 million a year earlier.
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Analysis
Top Ships (TOPS) Change in Receivables (2013 - 2014) Analysis & Trends
Going back to the year ended Dec 31, 2009, Top Ships' Change in Receivables data covers 17 years.
- Change in Receivables carries a five-year compound annual growth rate of -44.4% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Change in Receivables since the year ended Dec 31, 2022.
- Per Business Quant, earlier years put Change in Receivables at -$3.2 million in the year ended Dec 31, 2024, -$309,000 in the year ended Dec 31, 2023, $68,000 in the year ended Dec 31, 2022 and -$76,000 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 144.00 Mn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 70.00 Mn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 755.00 Mn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | - |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 55.00 Mn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 1.16 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | - |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | - |
| 10 | Top Ships | 1.80 Mn | -47.62 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 51,000.00 |
| Sep 30, 2014 | -4,000.00 |
| Jun 30, 2014 | -1,000.00 |
| Mar 31, 2014 | 4,000.00 |
| Dec 31, 2013 | 987,000.00 |
| Sep 30, 2013 | -2.05 Mn |
| Jun 30, 2013 | 451,000.00 |
| Mar 31, 2013 | 223,000.00 |
API Access
Top Ships Change in Receivables 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-receivables&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();