Pyxis Tankers (PXS) Inventory (2012 - 2026)
Pyxis Tankers (PXS) reported Inventory of $555,000 for the quarter ended Jun 30, 2026, down 61.3% from $1.43 million a year earlier but up 10.8% from the prior quarter.
Pyxis Tankers (PXS) Inventory (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers posted Inventory of $536,000, down 71.6% from the prior year.
- Inventory has a five-year compound annual growth rate of -4.7% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $1.89 million in the year ended Dec 31, 2024 (+97.4%), $957,000 in the year ended Dec 31, 2023 (-49.9%), $1.91 million in the year ended Dec 31, 2022 (+22.0%) and $1.57 million in the year ended Dec 31, 2021 (+130.1%).
- Five-year quarterly Inventory spans a low of $501,000 in the quarter ended Mar 31, 2026 and a high of $3.47 million in the quarter ended Jun 30, 2022.
- Year over year, Inventory has now declined in each of the last six quarters, with an average decline of 34.3% over the last eight quarters.
- The high point for year-over-year Inventory in five years was the quarter ended Mar 31, 2022 (growth of 376.7%); the low point was the quarter ended Jun 30, 2023 (a decline of 75.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $501,000 (quarter ended Mar 31, 2026), $536,000 (quarter ended Dec 31, 2025) and $542,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 919.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 406.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 391.83 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 327.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.56 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 5.35 Mn |
| 10 | Pyxis Tankers | 67.93 Mn | -133.96 Mn | - | 555,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 555,000.00 |
| Mar 31, 2026 | 501,000.00 |
| Dec 31, 2025 | 536,000.00 |
| Sep 30, 2025 | 542,000.00 |
| Jun 30, 2025 | 1.43 Mn |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 1.89 Mn |
| Sep 30, 2024 | 1.02 Mn |
| Jun 30, 2024 | 2.11 Mn |
| Mar 31, 2024 | 2.94 Mn |
| Dec 31, 2023 | 957,000.00 |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 858,000.00 |
| Mar 31, 2023 | 894,000.00 |
| Dec 31, 2022 | 1.91 Mn |
| Sep 30, 2022 | 2.82 Mn |
| Jun 30, 2022 | 3.47 Mn |
| Mar 31, 2022 | 2.32 Mn |
| Dec 31, 2021 | 1.57 Mn |
| Sep 30, 2021 | 1.07 Mn |
Pyxis Tankers Inventory 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=inventory&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();