Top Ships (TOPS) Operating Leases (2019 - 2024)
Top Ships (TOPS) posted Operating Leases of $3.18 million for the quarter ended Jun 30, 2024, down 70.7% from $10.85 million a year earlier.
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Analysis
Top Ships (TOPS) Operating Leases (2019 - 2024) Analysis & Trends
As of Dec 31, 2023, Top Ships' Operating Leases came in at $6.36 million, down 58.6% from the prior year.
- Annual Operating Leases has declined for three consecutive years, with a three-year compound annual growth rate of -42.7% (years ended Dec 2020 to Dec 2023).
- In prior years, Top Ships' Operating Leases was $15.34 million in the year ended Dec 31, 2022 (-36.0%), $23.95 million in the year ended Dec 31, 2021 (-29.2%) and $33.81 million in the year ended Dec 31, 2020.
- The figure for the quarter ended Jun 30, 2024 stands as the lowest quarterly Operating Leases in data going back to the quarter ended Jun 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Top Ships | 1.17 Mn | 1.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 3.18 Mn |
| Dec 31, 2023 | 6.36 Mn |
| Jun 30, 2023 | 10.85 Mn |
| Dec 31, 2022 | 15.34 Mn |
| Jun 30, 2022 | 19.64 Mn |
| Dec 31, 2021 | 23.95 Mn |
| Jun 30, 2021 | 28.86 Mn |
| Dec 31, 2020 | 33.81 Mn |
| Jun 30, 2019 | 9.28 Mn |
API Access
Top Ships Operating Leases 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=operating-leases&ticker=TOPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();