Top Ships (TOPS) Change in Cash (2009 - 2014)
Top Ships (TOPS) posted Change in Cash of $10.59 million for the year ended Dec 31, 2025, compared with -$28.33 million a year earlier.
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Analysis
Top Ships (TOPS) Change in Cash (2009 - 2014) Analysis & Trends
Since the year ended Dec 31, 2009, Top Ships has reported Change in Cash for 16 years.
- Annual Change in Cash shows a five-year compound annual growth rate of 1.0% (years ended Dec 2020 to Dec 2025).
- Annual Change in Cash has run from a low of -$28.33 million in the year ended Dec 31, 2024 to a high of $18.17 million in the year ended Dec 31, 2022 over five years.
- Business Quant data shows TOPS's Change in Cash at -$28.33 million in the year ended Dec 31, 2024, $15.41 million in the year ended Dec 31, 2023 (-15.2%), $18.17 million in the year ended Dec 31, 2022 and -$16.96 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 872.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 43.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | -31.09 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | -1.15 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | -272.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.62 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | -462.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | -4.14 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 572.70 Mn |
| 10 | Top Ships | 1.04 Mn | 1.04 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -7.18 Mn |
| Sep 30, 2014 | -6.47 Mn |
| Jun 30, 2014 | 11.16 Mn |
| Mar 31, 2014 | -7.23 Mn |
| Jun 30, 2009 | -13.27 Mn |
| Mar 31, 2009 | -32.97 Mn |
API Access
Top Ships Change in Cash 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-cash&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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-cash&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();