Pyxis Tankers (PXS) EBITDA (2015 - 2026)
Pyxis Tankers' EBITDA came in at $4.4 billion for the quarter ended Jun 30, 2026, compared with -$863.94 million a year earlier and up 31.0% from the prior quarter.
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Analysis
Pyxis Tankers (PXS) EBITDA (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pyxis Tankers reported EBITDA of $9.9 billion, up 47.3% year-over-year; for the year ended Dec 31, 2025, it was $14.69 million, down 39.8% from the prior year.
- EBITDA carries a five-year compound annual growth rate of 40.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBITDA was $24.39 million in the year ended Dec 31, 2024 (-49.3%), $48.15 million in the year ended Dec 31, 2023 (+102.3%), $23.8 million in the year ended Dec 31, 2022 and -$3.21 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly EBITDA since the quarter ended Sep 30, 2024.
- Year-over-year, EBITDA increased in two of the last six quarters, with an average decline of 30.5%.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Dec 31, 2023 (growth of 186.7%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 99.6%).
- Business Quant data shows PXS's EBITDA at $3.36 billion (quarter ended Mar 31, 2026), $5.17 million (quarter ended Dec 31, 2025) and $2.13 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 3.40 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 1.86 Bn |
| 10 | Pyxis Tankers | 74.52 Mn | -134.47 Mn | 8.35 Bn | 4.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.40 Bn |
| Mar 31, 2026 | 3.36 Bn |
| Dec 31, 2025 | 5.17 Mn |
| Sep 30, 2025 | 2.13 Bn |
| Jun 30, 2025 | -863.94 Mn |
| Mar 31, 2025 | 1.56 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 4.74 Bn |
| Jun 30, 2024 | 6.26 Bn |
| Mar 31, 2024 | 4.45 Bn |
| Dec 31, 2023 | 23.17 Bn |
| Sep 30, 2023 | 4.09 Bn |
| Jun 30, 2023 | 3.92 Bn |
| Mar 31, 2023 | 10.69 Bn |
| Dec 31, 2022 | 9.74 Mn |
| Sep 30, 2022 | 6.33 Bn |
| Jun 30, 2022 | 5.66 Bn |
| Mar 31, 2022 | -2.75 Bn |
| Dec 31, 2021 | -3.08 Mn |
| Sep 30, 2021 | -2.72 Bn |
API Access
Pyxis Tankers 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=ebitda&ticker=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();