Pyxis Tankers (PXS) Other Accumulated Expenses (2012 - 2026)
Pyxis Tankers' Other Accumulated Expenses was $940,000 in the quarter ended Jun 30, 2026, down 69.7% from $3.1 million a year earlier and down 6.2% from the prior quarter.
Pyxis Tankers (PXS) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Accumulated Expenses at Pyxis Tankers came in at $1.69 million, up 73.2% from the prior year.
- Other Accumulated Expenses shows a four-year compound annual growth rate of -29.9% (years ended Dec 2021 to Dec 2025).
- In earlier years, Other Accumulated Expenses was $973,000 in the year ended Dec 31, 2024 (-1.7%), $990,000 in the year ended Dec 31, 2023 (-3.7%), $1.03 million in the year ended Dec 31, 2022 (-85.2%) and $6.96 million in the year ended Dec 31, 2021.
- Quarterly Other Accumulated Expenses has moved between $120,000 (the quarter ended Sep 30, 2021) and $6.96 million (the quarter ended Dec 31, 2021) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in four of the last eight quarters, with growth averaging 17.9%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was the quarter ended Jun 30, 2025 (growth of 218.1%); the worst was the quarter ended Dec 31, 2022 (a decline of 85.2%).
- Per Business Quant data, PXS's Other Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $1 million (quarter ended Mar 31, 2026), $1.69 million (quarter ended Dec 31, 2025) and $454,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Pyxis Tankers | 80.54 Mn | -121.35 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 940,000.00 |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 1.69 Mn |
| Sep 30, 2025 | 454,000.00 |
| Jun 30, 2025 | 3.10 Mn |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 973,000.00 |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 975,000.00 |
| Mar 31, 2024 | 1.28 Mn |
| Dec 31, 2023 | 990,000.00 |
| Sep 30, 2023 | 1.07 Mn |
| Jun 30, 2023 | 1.08 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | 5.56 Mn |
| Jun 30, 2022 | 5.66 Mn |
| Mar 31, 2022 | 4.82 Mn |
| Dec 31, 2021 | 6.96 Mn |
| Sep 30, 2021 | 120,000.00 |
Pyxis Tankers Other Accumulated Expenses 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=other-accumulated-expenses&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();