Pyxis Tankers (PXS) EV to EBITDA (2015 - 2026)
Pyxis Tankers' EV to EBITDA came in at 0.00 for the quarter ended Jun 30, 2026, compared with 0.00 a year earlier.
Pyxis Tankers (PXS) EV to EBITDA (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pyxis Tankers reported EV to EBITDA of -0.02; for the year ended Dec 31, 2025, it was -1.23.
- Going back by year, EV to EBITDA was 0.39 in the year ended Dec 31, 2024, -0.13 in the year ended Dec 31, 2023 and 1.74 in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly EV to EBITDA since the quarter ended Mar 31, 2025.
- Business Quant data shows PXS's EV to EBITDA at 0.00 (quarter ended Mar 31, 2026), -0.01 (quarter ended Dec 31, 2025) and 0.00 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | Pyxis Tankers | 67.93 Mn | -133.96 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.00 |
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | -0.01 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.00 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.01 |
| Jun 30, 2020 | 1.15 |
| Mar 31, 2020 | 2.92 |
| Dec 31, 2019 | 7.51 |
| Sep 30, 2019 | 8.05 |
Pyxis Tankers EV to EBITDA 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=ev-to-ebitda&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "PXS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();