Pyxis Tankers (PXS) Market Capitalization (2015 - 2026)
Pyxis Tankers' Market Capitalization was $43.34 million in the quarter ended Jun 30, 2026, up 46.7% from $29.55 million a year earlier but down 1.9% from the prior quarter.
Pyxis Tankers (PXS) Market Capitalization (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Market Capitalization at Pyxis Tankers came in at $29.28 million, down 29.4% from the prior year.
- Market Capitalization has now declined for three consecutive years, with a five-year compound annual growth rate of -4.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Market Capitalization was $41.47 million in the year ended Dec 31, 2024 (-5.7%), $43.96 million in the year ended Dec 31, 2023 (-14.1%), $51.16 million in the year ended Dec 31, 2022 (+151.1%) and $20.38 million in the year ended Dec 31, 2021 (-44.5%).
- Quarterly Market Capitalization has moved between $20.38 million (the quarter ended Dec 31, 2021) and $53.66 million (the quarter ended Jun 30, 2024) over five years.
- Compared with a year earlier, Market Capitalization was higher in three of the last eight quarters, with an average decline of 6.2%.
- The best year-over-year quarter for Market Capitalization over five years was the quarter ended Dec 31, 2022 (growth of 151.1%); the worst was the quarter ended Mar 31, 2022 (a decline of 51.3%).
- Per Business Quant data, PXS's Market Capitalization in the three quarters before the quarter ended Jun 30, 2026 was $44.18 million (quarter ended Mar 31, 2026), $29.28 million (quarter ended Dec 31, 2025) and $29.76 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn |
| 10 | Pyxis Tankers | 67.10 Mn | -134.79 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.34 Mn |
| Mar 31, 2026 | 44.18 Mn |
| Dec 31, 2025 | 29.28 Mn |
| Sep 30, 2025 | 29.76 Mn |
| Jun 30, 2025 | 29.55 Mn |
| Mar 31, 2025 | 35.78 Mn |
| Dec 31, 2024 | 41.47 Mn |
| Sep 30, 2024 | 52.19 Mn |
| Jun 30, 2024 | 53.66 Mn |
| Mar 31, 2024 | 50.29 Mn |
| Dec 31, 2023 | 43.96 Mn |
| Sep 30, 2023 | 39.49 Mn |
| Jun 30, 2023 | 40.12 Mn |
| Mar 31, 2023 | 52.12 Mn |
| Dec 31, 2022 | 51.16 Mn |
| Sep 30, 2022 | 40.86 Mn |
| Jun 30, 2022 | 29.51 Mn |
| Mar 31, 2022 | 22.18 Mn |
| Dec 31, 2021 | 20.38 Mn |
| Sep 30, 2021 | 33.63 Mn |
Pyxis Tankers Market Capitalization 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=market-capitalization&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();