Pyxis Tankers (PXS) Payables (2012 - 2026)
Pyxis Tankers' Payables came in at $1.62 million for the quarter ended Jun 30, 2026, down 21.1% from $2.06 million a year earlier but up 149.5% from the prior quarter.
Pyxis Tankers (PXS) Payables (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers' Payables was $1.5 million, down 29.0% from the prior year.
- Payables carries a five-year compound annual growth rate of -29.6% (years ended Dec 2020 to Dec 2025).
- Going back by year, Payables was $2.11 million in the year ended Dec 31, 2024 (+24.3%), $1.7 million in the year ended Dec 31, 2023 (-80.3%), $8.6 million in the year ended Dec 31, 2022 (-5.3%) and $9.08 million in the year ended Dec 31, 2021 (+5.1%).
- The five-year range for quarterly Payables is $650,000 (the quarter ended Mar 31, 2026) to $11.59 million (the quarter ended Jun 30, 2022).
- Year-over-year, Payables has declined for three consecutive quarters, with an average decline of 7.4% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in the quarter ended Jun 30, 2022 (growth of 120.7%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 81.8%).
- Business Quant data shows PXS's Payables at $650,000 (quarter ended Mar 31, 2026), $1.5 million (quarter ended Dec 31, 2025) and $1.74 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.32 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 2.11 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 5.98 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.78 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 5.07 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 7.84 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 80.99 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 828.76 Mn |
| 10 | Pyxis Tankers | 67.93 Mn | -133.96 Mn | - | 1.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.62 Mn |
| Mar 31, 2026 | 650,000.00 |
| Dec 31, 2025 | 1.50 Mn |
| Sep 30, 2025 | 1.74 Mn |
| Jun 30, 2025 | 2.06 Mn |
| Mar 31, 2025 | 2.76 Mn |
| Dec 31, 2024 | 2.11 Mn |
| Sep 30, 2024 | 1.53 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 2.85 Mn |
| Jun 30, 2023 | 2.11 Mn |
| Mar 31, 2023 | 2.68 Mn |
| Dec 31, 2022 | 8.60 Mn |
| Sep 30, 2022 | 9.49 Mn |
| Jun 30, 2022 | 11.59 Mn |
| Mar 31, 2022 | 11.20 Mn |
| Dec 31, 2021 | 9.08 Mn |
| Sep 30, 2021 | 5.70 Mn |
Pyxis Tankers Payables 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=payables&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();