Pyxis Tankers (PXS) Prepaid Assets (2012 - 2026)
Pyxis Tankers (PXS) recorded Prepaid Assets of $578,000 in the quarter ended Jun 30, 2026, up 47.1% from $393,000 a year earlier but down 45.7% from the prior quarter.
Pyxis Tankers (PXS) Prepaid Assets (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers reported Prepaid Assets of $552,000, down 21.8% from the prior year.
- Annual Prepaid Assets has a five-year compound annual growth rate of 32.9% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Prepaid Assets came in at $706,000 in the year ended Dec 31, 2024 (+212.4%), $226,000 in the year ended Dec 31, 2023 (+10.8%), $204,000 in the year ended Dec 31, 2022 (+9.7%) and $186,000 in the year ended Dec 31, 2021 (+39.8%).
- Quarterly Prepaid Assets has ranged from $186,000 in the quarter ended Dec 31, 2021 to $1.36 million in the quarter ended Jun 30, 2024 over the past five years.
- On a year-over-year basis, Prepaid Assets rose in five of the last eight quarters, with growth averaging 40.8%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 212.4% in the quarter ended Dec 31, 2024, against a decline of 71.1% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.06 million (quarter ended Mar 31, 2026), $552,000 (quarter ended Dec 31, 2025) and $226,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Pyxis Tankers | 74.70 Mn | -127.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 578,000.00 |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | 552,000.00 |
| Sep 30, 2025 | 226,000.00 |
| Jun 30, 2025 | 393,000.00 |
| Mar 31, 2025 | 761,000.00 |
| Dec 31, 2024 | 706,000.00 |
| Sep 30, 2024 | 621,000.00 |
| Jun 30, 2024 | 1.36 Mn |
| Mar 31, 2024 | 535,000.00 |
| Dec 31, 2023 | 226,000.00 |
| Sep 30, 2023 | 257,000.00 |
| Jun 30, 2023 | 543,000.00 |
| Mar 31, 2023 | 657,000.00 |
| Dec 31, 2022 | 204,000.00 |
| Sep 30, 2022 | 315,000.00 |
| Jun 30, 2022 | 284,000.00 |
| Mar 31, 2022 | 299,000.00 |
| Dec 31, 2021 | 186,000.00 |
| Sep 30, 2021 | 260,000.00 |
Pyxis Tankers Prepaid 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=prepaid-assets&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();