Pyxis Tankers (PXS) Non-Current Assets (2012 - 2026)
Pyxis Tankers' Non-Current Assets was $132.73 million in the quarter ended Jun 30, 2026, down 5.5% from $140.51 million a year earlier and down 1.5% from the prior quarter.
Pyxis Tankers (PXS) Non-Current Assets (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Non-Current Assets at Pyxis Tankers came in at $136.76 million, down 4.2% from the prior year.
- Non-Current Assets shows a five-year compound annual growth rate of 9.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Non-Current Assets was $142.76 million in the year ended Dec 31, 2024 (+35.4%), $105.43 million in the year ended Dec 31, 2023 (-10.5%), $117.85 million in the year ended Dec 31, 2022 (-4.5%) and $123.46 million in the year ended Dec 31, 2021 (+40.6%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Non-Current Assets since the quarter ended Mar 31, 2024.
- Compared with a year earlier, Non-Current Assets has declined for five straight quarters, with growth averaging 4.6% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was the quarter ended Jun 30, 2024 (growth of 49.4%); the worst was the quarter ended Mar 31, 2023 (a decline of 18.7%).
- Per Business Quant data, PXS's Non-Current Assets in the three quarters before the quarter ended Jun 30, 2026 was $134.74 million (quarter ended Mar 31, 2026), $136.76 million (quarter ended Dec 31, 2025) and $138.81 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 65.68 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 41.32 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 62.05 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 53.72 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 42.32 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 71.03 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 72.09 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 4.73 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 13.91 Bn |
| 10 | Pyxis Tankers | 67.93 Mn | -133.96 Mn | - | 132.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.73 Mn |
| Mar 31, 2026 | 134.74 Mn |
| Dec 31, 2025 | 136.76 Mn |
| Sep 30, 2025 | 138.81 Mn |
| Jun 30, 2025 | 140.51 Mn |
| Mar 31, 2025 | 141.71 Mn |
| Dec 31, 2024 | 142.76 Mn |
| Sep 30, 2024 | 144.64 Mn |
| Jun 30, 2024 | 147.49 Mn |
| Mar 31, 2024 | 128.21 Mn |
| Dec 31, 2023 | 105.43 Mn |
| Sep 30, 2023 | 126.80 Mn |
| Jun 30, 2023 | 98.73 Mn |
| Mar 31, 2023 | 99.48 Mn |
| Dec 31, 2022 | 117.85 Mn |
| Sep 30, 2022 | 119.39 Mn |
| Jun 30, 2022 | 120.83 Mn |
| Mar 31, 2022 | 122.35 Mn |
| Dec 31, 2021 | 123.46 Mn |
| Sep 30, 2021 | 104.32 Mn |
Pyxis Tankers Non-Current Assets 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=non-current-assets&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();