Pyxis Tankers (PXS) Receivables (2012 - 2026)
Pyxis Tankers' Receivables came in at $3.36 million for the quarter ended Jun 30, 2026, up 19.5% from $2.81 million a year earlier and up 9.9% from the prior quarter.
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Analysis
Pyxis Tankers (PXS) Receivables (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers' Receivables was $2.01 million, down 80.6% from the prior year.
- Going back by year, Receivables was $10.33 million in the year ended Dec 31, 2024 (+100.2%), $5.16 million in the year ended Dec 31, 2023 (-64.3%), $14.44 million in the year ended Dec 31, 2022 (+80.6%) and $7.99 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Receivables since the quarter ended Mar 31, 2025.
- Year-over-year, Receivables increased in four of the last eight quarters, with growth averaging 2.3%.
- The fastest year-over-year change in Receivables over five years came in the quarter ended Mar 31, 2023 (growth of 424.4%), and the weakest in the quarter ended Sep 30, 2025 (a decline of 86.8%).
- Business Quant data shows PXS's Receivables at $3.06 million (quarter ended Mar 31, 2026), $2.01 million (quarter ended Dec 31, 2025) and $1.28 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 2.13 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 1.46 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 10.71 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.59 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 1.18 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 12.67 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 4.33 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 618.02 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 2.47 Bn |
| 10 | Pyxis Tankers | 74.52 Mn | -134.47 Mn | 8.35 Bn | 3.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.36 Mn |
| Mar 31, 2026 | 3.06 Mn |
| Dec 31, 2025 | 2.01 Mn |
| Sep 30, 2025 | 1.28 Mn |
| Jun 30, 2025 | 2.81 Mn |
| Mar 31, 2025 | 4.98 Mn |
| Dec 31, 2024 | 5.29 Mn |
| Sep 30, 2024 | 9.66 Mn |
| Jun 30, 2024 | 5.39 Mn |
| Mar 31, 2024 | 4.67 Mn |
| Dec 31, 2023 | 5.16 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | 5.28 Mn |
| Dec 31, 2022 | 14.44 Mn |
| Sep 30, 2022 | 10.93 Mn |
| Jun 30, 2022 | 7.20 Mn |
| Mar 31, 2022 | 4.21 Mn |
| Dec 31, 2021 | 1.72 Mn |
| Sep 30, 2021 | 1.95 Mn |
API Access
Pyxis Tankers Receivables 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=receivables&ticker=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();