Pyxis Tankers (PXS) Total Liabilities (2012 - 2026)
Pyxis Tankers (PXS) posted Total Liabilities of $88.55 million for the quarter ended Jun 30, 2026, up 0.1% from $88.45 million a year earlier but down 2.1% from the prior quarter.
Pyxis Tankers (PXS) Total Liabilities (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers' Total Liabilities came in at $92.02 million, up 3.1% from the prior year.
- Annual Total Liabilities shows a five-year compound annual growth rate of 7.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Pyxis Tankers' Total Liabilities was $89.22 million in the year ended Dec 31, 2024 (+36.3%), $65.45 million in the year ended Dec 31, 2023 (-15.7%), $77.61 million in the year ended Dec 31, 2022 (-17.2%) and $93.71 million in the year ended Dec 31, 2021 (+47.3%).
- Quarterly Total Liabilities has run from a low of $63.26 million in the quarter ended Sep 30, 2021 to a high of $93.71 million in the quarter ended Dec 31, 2021 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 6.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was the quarter ended Jun 30, 2022, with growth of 68.7%; the weakest was the quarter ended Jun 30, 2023, with a decline of 25.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $90.41 million (quarter ended Mar 31, 2026), $92.02 million (quarter ended Dec 31, 2025) and $84.37 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Pyxis Tankers | 67.93 Mn | -133.96 Mn | - | 88.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.55 Mn |
| Mar 31, 2026 | 90.41 Mn |
| Dec 31, 2025 | 92.02 Mn |
| Sep 30, 2025 | 84.37 Mn |
| Jun 30, 2025 | 88.45 Mn |
| Mar 31, 2025 | 88.95 Mn |
| Dec 31, 2024 | 89.22 Mn |
| Sep 30, 2024 | 90.19 Mn |
| Jun 30, 2024 | 93.70 Mn |
| Mar 31, 2024 | 78.59 Mn |
| Dec 31, 2023 | 65.45 Mn |
| Sep 30, 2023 | 84.11 Mn |
| Jun 30, 2023 | 63.93 Mn |
| Mar 31, 2023 | 64.77 Mn |
| Dec 31, 2022 | 77.61 Mn |
| Sep 30, 2022 | 83.17 Mn |
| Jun 30, 2022 | 85.99 Mn |
| Mar 31, 2022 | 86.22 Mn |
| Dec 31, 2021 | 93.71 Mn |
| Sep 30, 2021 | 63.26 Mn |
Pyxis Tankers Total Liabilities 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=total-liabilities&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();