Pyxis Tankers (PXS) Receivables - Net (2012 - 2026)
Pyxis Tankers (PXS) reported Receivables - Net of $3.36 million for the quarter ended Jun 30, 2026, up 35.9% from $2.47 million a year earlier and up 9.9% from the prior quarter.
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Analysis
Pyxis Tankers (PXS) Receivables - Net (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers posted Receivables - Net of $2.01 million, down 80.1% from the prior year.
- Receivables - Net has a five-year compound annual growth rate of 24.8% (years ended Dec 2020 to Dec 2025).
- By year, Receivables - Net came in at $10.08 million in the year ended Dec 31, 2024 (+103.1%), $4.96 million in the year ended Dec 31, 2023 (-52.6%), $10.47 million in the year ended Dec 31, 2022 (+510.1%) and $1.72 million in the year ended Dec 31, 2021 (+158.8%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Receivables - Net since the quarter ended Mar 31, 2025.
- Year over year, Receivables - Net gained in four of the last eight quarters, with growth averaging 13.9%.
- The high point for year-over-year Receivables - Net in five years was the quarter ended Jun 30, 2022 (growth of 946.7%); the low point was the quarter ended Sep 30, 2025 (a decline of 86.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in 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).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Pyxis Tankers | 67.93 Mn | -133.96 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 | 2.47 Mn |
| Mar 31, 2025 | 4.74 Mn |
| Dec 31, 2024 | 5.04 Mn |
| Sep 30, 2024 | 9.33 Mn |
| Jun 30, 2024 | 5.22 Mn |
| Mar 31, 2024 | 4.19 Mn |
| Dec 31, 2023 | 4.96 Mn |
| Sep 30, 2023 | 2.36 Mn |
| Jun 30, 2023 | 4.15 Mn |
| Mar 31, 2023 | 4.99 Mn |
| Dec 31, 2022 | 10.47 Mn |
| Sep 30, 2022 | 9.04 Mn |
| Jun 30, 2022 | 5.27 Mn |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 1.72 Mn |
| Sep 30, 2021 | 1.95 Mn |
API Access
Pyxis Tankers Receivables - Net 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-net&ticker=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();