Pyxis Tankers (PXS) EPS (Diluted) (2014 - 2026)
Pyxis Tankers (PXS) recorded EPS (Diluted) of $270.10 in 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 (Diluted) (2014 - 2026) Analysis & Trends
On a TTM basis, Pyxis Tankers' EPS (Diluted) came in at $617.34 as of Jun 30, 2026, 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.
- Across earlier years, EPS (Diluted) came in at $2.18 in the year ended Dec 31, 2024 (-24.3%), $2.88 in the year ended Dec 31, 2023 (+190.9%), $0.99 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 is the highest quarterly EPS (Diluted) since the quarter ended Dec 31, 2024.
- On a year-over-year basis, EPS (Diluted) rose in two of the last six quarters, with an average decline of 13.9%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 234.8% in the quarter ended Dec 31, 2023, against a decline of 99.9% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters 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 (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 3.36 |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 0.83 |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 0.71 |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 3.26 |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 6.68 |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 2.44 |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 1.68 |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 2.46 |
| 10 | Pyxis Tankers | 79.29 Mn | -122.60 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 | 283.26 |
| Jun 30, 2024 | 398.70 |
| Mar 31, 2024 | 273.40 |
| Dec 31, 2023 | 1,718.61 |
| Sep 30, 2023 | 248.88 |
| Jun 30, 2023 | -704.33 |
| Mar 31, 2023 | 687.94 |
| Dec 31, 2022 | 513.27 |
| 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 (Diluted) 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-diluted&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();