Pyxis Tankers (PXS) EPS (Basic) (2014 - 2026)
Pyxis Tankers (PXS) reported EPS (Basic) of $270.10 for the quarter ended Jun 30, 2026, compared with -$190.32 a year earlier and up 16.2% from the prior quarter.
Pyxis Tankers (PXS) EPS (Basic) (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pyxis Tankers' EPS (Basic) came in at $617.34, up 22.0% year-over-year; for the year ended Dec 31, 2025, it came in at $0.19, down 91.2% from the prior year.
- By year, EPS (Basic) came in at $2.18 in the year ended Dec 31, 2024 (-35.6%), $3.39 in the year ended Dec 31, 2023 (+187.3%), $1.18 in the year ended Dec 31, 2022 and -$1.43 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly EPS (Basic) since the quarter ended Dec 31, 2024.
- Year over year, EPS (Basic) gained in two of the last six quarters, with an average decline of 16.2%.
- The high point for year-over-year EPS (Basic) in five years was the quarter ended Dec 31, 2023 (growth of 230.7%); the low point was the quarter ended Dec 31, 2025 (a decline of 99.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $232.39 (quarter ended Mar 31, 2026), $0.20 (quarter ended Dec 31, 2025) and $113.54 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.36 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.84 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.71 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.27 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.74 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.45 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.69 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.18 |
| 10 | Pyxis Tankers | 67.93 Mn | -133.96 Mn | - | 270.10 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 270.10 |
| Mar 31, 2026 | 232.39 |
| Dec 31, 2025 | 0.20 |
| Sep 30, 2025 | 113.54 |
| Jun 30, 2025 | -190.32 |
| Mar 31, 2025 | 72.78 |
| Dec 31, 2024 | 284.67 |
| Sep 30, 2024 | 333.14 |
| Jun 30, 2024 | 468.93 |
| Mar 31, 2024 | 321.56 |
| Dec 31, 2023 | 2,021.30 |
| Sep 30, 2023 | 296.41 |
| Jun 30, 2023 | -838.84 |
| Mar 31, 2023 | 819.32 |
| Dec 31, 2022 | 611.29 |
| Sep 30, 2022 | 568.11 |
| Jun 30, 2022 | 508.07 |
| Mar 31, 2022 | -407.01 |
| Dec 31, 2021 | -621.36 |
| Sep 30, 2021 | -687.95 |
Pyxis Tankers EPS (Basic) 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=eps-basic&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();