Pyxis Tankers (PXS) Revenue (2014 - 2026)
Pyxis Tankers (PXS) recorded Revenue of $12.13 billion in the quarter ended Jun 30, 2026, up 32.6% from $9.15 billion a year earlier and up 21.6% from the prior quarter.
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Analysis
Pyxis Tankers (PXS) Revenue (2014 - 2026) Analysis & Trends
On a TTM basis, Pyxis Tankers' Revenue came in at $31.82 billion as of Jun 30, 2026, down 28.6% year-over-year; for the year ended Dec 31, 2025, it came in at $38.99 million, down 24.3% from the prior year.
- Annual Revenue has a five-year compound annual growth rate of 12.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Revenue came in at $51.54 million in the year ended Dec 31, 2024 (+13.4%), $45.47 million in the year ended Dec 31, 2023 (-22.1%), $58.34 million in the year ended Dec 31, 2022 (+130.2%) and $25.34 million in the year ended Dec 31, 2021 (+16.7%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Revenue since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Revenue rose in three of the last eight quarters, with an average decline of 16.4%.
- Peak year-over-year performance for Revenue in the last five years was growth of 222.1% in the quarter ended Jun 30, 2022, 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 $9.98 billion (quarter ended Mar 31, 2026), $10.54 million (quarter ended Dec 31, 2025) and $9.7 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 6.86 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 3.94 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 3.01 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 22.83 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 3.47 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 25.01 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 19.76 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.55 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 5.10 Bn |
| 10 | Pyxis Tankers | 67.10 Mn | -134.79 Mn | - | 12.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.13 Bn |
| Mar 31, 2026 | 9.98 Bn |
| Dec 31, 2025 | 10.54 Mn |
| Sep 30, 2025 | 9.70 Bn |
| Jun 30, 2025 | 9.15 Bn |
| Mar 31, 2025 | 9.61 Bn |
| Dec 31, 2024 | 12.04 Bn |
| Sep 30, 2024 | 13.79 Bn |
| Jun 30, 2024 | 13.91 Bn |
| Mar 31, 2024 | 11.81 Bn |
| Dec 31, 2023 | 13.25 Bn |
| Sep 30, 2023 | 11.10 Bn |
| Jun 30, 2023 | 9.51 Bn |
| Mar 31, 2023 | 11.62 Bn |
| Dec 31, 2022 | 18.38 Bn |
| Sep 30, 2022 | 17.00 Bn |
| Jun 30, 2022 | 16.06 Bn |
| Mar 31, 2022 | 6.91 Bn |
| Dec 31, 2021 | 8.10 Bn |
| Sep 30, 2021 | 7.01 Bn |
API Access
Pyxis Tankers Revenue 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=revenue&ticker=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();