Pyxis Tankers (PXS) Operating Income (2014 - 2026)
Pyxis Tankers (PXS) recorded Operating Income of $4.4 billion in the quarter ended Jun 30, 2026, compared with -$866 million a year earlier and up 31.0% from the prior quarter.
Pyxis Tankers (PXS) Operating Income (2014 - 2026) Analysis & Trends
On a TTM basis, Pyxis Tankers' Operating Income came in at $9.89 billion as of Jun 30, 2026, up 47.4% year-over-year; for the year ended Dec 31, 2025, it came in at $5.92 million, down 64.6% from the prior year.
- Across earlier years, Operating Income came in at $16.72 million in the year ended Dec 31, 2024 (-60.1%), $41.87 million in the year ended Dec 31, 2023 (+141.8%), $17.31 million in the year ended Dec 31, 2022 and -$8.51 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Operating Income since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Operating Income rose in two of the last six quarters, with an average decline of 30.5%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 186.7% in the quarter ended Dec 31, 2023, against a decline of 99.8% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.36 billion (quarter ended Mar 31, 2026), $3.09 million (quarter ended Dec 31, 2025) and $2.13 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 2.76 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 1.51 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 1.06 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 930.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 1.12 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 1.86 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 465.30 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 668.82 Mn |
| 10 | Pyxis Tankers | 67.10 Mn | -134.79 Mn | - | 4.40 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.40 Bn |
| Mar 31, 2026 | 3.36 Bn |
| Dec 31, 2025 | 3.09 Mn |
| Sep 30, 2025 | 2.13 Bn |
| Jun 30, 2025 | -866.00 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 | 8.08 Bn |
| Sep 30, 2022 | 6.33 Bn |
| Jun 30, 2022 | 5.66 Bn |
| Mar 31, 2022 | -2.76 Bn |
| Dec 31, 2021 | -4.55 Bn |
| Sep 30, 2021 | -2.73 Bn |
Pyxis Tankers Operating Income 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-income&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();