Pyxis Tankers (PXS) Income from Continuing Operations (2014 - 2026)
Pyxis Tankers' Income from Continuing Operations was $6.18 billion in Q2 2026, up 503.2% from $1.02 billion a year earlier.
Pyxis Tankers (PXS) Income from Continuing Operations (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pyxis Tankers' Income from Continuing Operations was $10.22 billion through Jun 30, 2026, down 11.5% year-over-year; for FY2025, it came in at $1.94 million, down 84.5% from FY2024.
- Income from Continuing Operations has now declined for three consecutive years.
- In earlier years, Income from Continuing Operations was $12.51 million in FY2024 (-44.7%), $22.64 million in FY2023 (-6.7%), $24.26 million in FY2022 and -$12.89 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Income from Continuing Operations since Q3 2024.
- Compared with a year earlier, Income from Continuing Operations was higher in three of the last six quarters, with growth averaging 67.6%.
- The best year-over-year quarter for Income from Continuing Operations over five years was Q2 2026 (growth of 503.2%); the worst was Q2 2025 (a decline of 87.9%).
- Per Business Quant data, PXS's Income from Continuing Operations in the three quarters before Q2 2026 was $5.39 million (Q1 2026), -$6.61 million (Q4 2025) and $4.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 2.08 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 1.16 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.05 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 654.33 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 1.60 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 759.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 756.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 1.03 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 343.75 Mn |
| 10 | Pyxis Tankers | 57.74 Mn | -151.25 Mn | 8.35 Bn | 6.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.18 Bn |
| Mar 31, 2026 | 5.39 Mn |
| Dec 31, 2025 | -6.61 Mn |
| Sep 30, 2025 | 4.21 Mn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 3.52 Mn |
| Dec 31, 2024 | 3.40 Bn |
| Sep 30, 2024 | 6.74 Mn |
| Jun 30, 2024 | 8.44 Bn |
| Mar 31, 2024 | 6.01 Mn |
| Dec 31, 2023 | 7.73 Mn |
| Sep 30, 2023 | 5.87 Bn |
| Jun 30, 2023 | 5.59 Bn |
| Mar 31, 2023 | 4.16 Mn |
| Dec 31, 2022 | 9.74 Mn |
| Sep 30, 2022 | 5.11 Mn |
| Jun 30, 2022 | 4.57 Bn |
| Mar 31, 2022 | -702,000.00 |
| Dec 31, 2021 | -5.59 Bn |
| Sep 30, 2021 | -3.71 Mn |
Pyxis Tankers Income from Continuing Operations 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=income-from-continuing-operations&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();