Top Ships (TOPS) Enterprise Value (2019 - 2026)
Top Ships (TOPS) recorded Enterprise Value of -$10.06 million in the quarter ended Jun 30, 2026, compared with $3.49 million a year earlier.
Top Ships (TOPS) Enterprise Value (2019 - 2026) Analysis & Trends
On a TTM basis, Top Ships' Enterprise Value came in at -$48.03 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$12.26 million.
- Across earlier years, Enterprise Value came in at -$782,471 in the year ended Dec 31, 2024, -$7.86 million in the year ended Dec 31, 2023, -$20.69 million in the year ended Dec 31, 2022 and $31.09 million in the year ended Dec 31, 2021 (+240.6%).
- Quarterly Enterprise Value has ranged from -$16.69 million in the quarter ended Dec 31, 2022 to $31.09 million in the quarter ended Dec 31, 2021 over the past five years.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.06 Mn |
| Dec 31, 2025 | -12.26 Mn |
| Jun 30, 2025 | 3.49 Mn |
| Dec 31, 2024 | -782,470.79 |
| Jun 30, 2024 | 3.02 Mn |
| Dec 31, 2023 | -7.86 Mn |
| Jun 30, 2023 | -11.90 Mn |
| Dec 31, 2022 | -16.69 Mn |
| Jun 30, 2022 | -3.13 Mn |
| Dec 31, 2021 | 31.09 Mn |
| Jun 30, 2021 | 25.23 Mn |
| Dec 31, 2020 | 9.13 Mn |
| Jun 30, 2020 | -1.36 Mn |
| Dec 31, 2019 | 54.14 Mn |
Top Ships Enterprise Value 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=enterprise-value&ticker=TOPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TOPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();