Pyxis Tankers (PXS) Shares Outstanding (Diluted) (2013 - 2026)
Pyxis Tankers' Weighted Average Shares Outstanding (Diluted) came in at 10.42 million for Q2 2026, down 1.0% from 10.52 million a year earlier and unchanged from the prior quarter.
Pyxis Tankers (PXS) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
Going back to Q4 2013, Pyxis Tankers' Weighted Average Shares Outstanding (Diluted) data covers 48 quarters.
- Weighted Average Shares Outstanding (Diluted) has declined in each of the last three years, though with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 10.52 million in FY2024 (-16.4%), 12.59 million in FY2023 (-0.4%), 12.64 million in FY2022 (+40.5%) and 8.99 million in FY2021 (+67.0%).
- The five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 5.39 million (Q3 2021) to 12.64 million (Q3 2023).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has declined for 11 consecutive quarters, with an average decline of 8.6% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q3 2022 (growth of 67.0%), and the weakest in Q4 2024 (a decline of 16.4%).
- Business Quant data shows PXS's Weighted Average Shares Outstanding (Diluted) at 10.42 million (Q1 2026), 10.42 million (Q4 2025) and 10.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 594.50 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 852.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 887.10 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 239.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 225.20 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 659.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 327.40 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 208.12 Mn |
| 10 | Pyxis Tankers | 57.74 Mn | -151.25 Mn | 8.35 Bn | 10.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.42 Mn |
| Mar 31, 2026 | 10.42 Mn |
| Dec 31, 2025 | 10.42 Mn |
| Sep 30, 2025 | 10.52 Mn |
| Jun 30, 2025 | 10.52 Mn |
| Mar 31, 2025 | 10.52 Mn |
| Dec 31, 2024 | 10.52 Mn |
| Sep 30, 2024 | 12.59 Mn |
| Jun 30, 2024 | 12.59 Mn |
| Mar 31, 2024 | 12.59 Mn |
| Dec 31, 2023 | 12.59 Mn |
| Sep 30, 2023 | 12.64 Mn |
| Jun 30, 2023 | 12.64 Mn |
| Mar 31, 2023 | 12.64 Mn |
| Dec 31, 2022 | 12.64 Mn |
| Sep 30, 2022 | 8.99 Mn |
| Jun 30, 2022 | 8.99 Mn |
| Mar 31, 2022 | 8.99 Mn |
| Dec 31, 2021 | 8.99 Mn |
| Sep 30, 2021 | 5.39 Mn |
Pyxis Tankers Shares Outstanding (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=shares-outstanding-diluted&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();