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 | 170.80 Bn | 165.33 Bn | - |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - |
| 10 | Top Ships | 1.93 Mn | -47.48 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.88 Mn |
| Dec 31, 2025 | 492,149.53 |
| Jun 30, 2025 | 18.36 Mn |
| Dec 31, 2024 | 16.27 Mn |
| Jun 30, 2024 | 3.02 Mn |
| Dec 31, 2023 | -7.86 Mn |
| Jun 30, 2023 | -3.76 Mn |
| Dec 31, 2022 | -7.47 Mn |
| Jun 30, 2022 | 868,551.49 |
| Dec 31, 2021 | 31.09 Mn |
| Jun 30, 2021 | 55.34 Mn |
| Dec 31, 2020 | 28.87 Mn |
| Jun 30, 2020 | 24.82 Mn |
| Dec 31, 2019 | 169.49 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();