Top Ships (TOPS) Depreciation & Amortization (CF) (2009 - 2014)
Top Ships' Depreciation & Amortization (CF) was $12.27 million in the year ended Dec 31, 2025, down 8.0% from $13.34 million a year earlier.
Top Ships (TOPS) Depreciation & Amortization (CF) (2009 - 2014) Analysis & Trends
From the year ended Dec 31, 2009 onward, Top Ships has reported Depreciation & Amortization (CF) for 16 years.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -1.4% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the lowest annual Depreciation & Amortization (CF) since the year ended Dec 31, 2021.
- Per Business Quant data, Depreciation & Amortization (CF) in earlier years was $13.34 million in the year ended Dec 31, 2024 (-7.1%), $14.35 million in the year ended Dec 31, 2023 (+8.0%), $13.29 million in the year ended Dec 31, 2022 (+73.3%) and $7.67 million in the year ended Dec 31, 2021 (-41.8%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 638.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 411.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 375.20 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 980.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.13 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 | 484.82 Mn |
| 10 | Top Ships | 1.04 Mn | 1.04 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 69,000.00 |
| Mar 31, 2014 | 29,000.00 |
| Jun 30, 2013 | 2.76 Mn |
| Mar 31, 2013 | 2.39 Mn |
| Mar 31, 2009 | 6.70 Mn |
Top Ships Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=TOPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();