Pyxis Tankers (PXS) Accumulated Expenses (2012 - 2026)
Pyxis Tankers (PXS) recorded Accumulated Expenses of $861,000 in the quarter ended Jun 30, 2026, down 30.8% from $1.25 million a year earlier and down 44.9% from the prior quarter.
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Analysis
Pyxis Tankers (PXS) Accumulated Expenses (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers reported Accumulated Expenses of $1 million, down 33.4% from the prior year.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 8.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $1.5 million in the year ended Dec 31, 2024 (+132.5%), $646,000 in the year ended Dec 31, 2023 (-33.2%), $967,000 in the year ended Dec 31, 2022 (-11.2%) and $1.09 million in the year ended Dec 31, 2021 (+60.9%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Accumulated Expenses since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 14.7%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 132.5% in the quarter ended Dec 31, 2024, against a decline of 33.4% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.56 million (quarter ended Mar 31, 2026), $1 million (quarter ended Dec 31, 2025) and $1.24 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Pyxis Tankers | 74.70 Mn | -127.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 861,000.00 |
| Mar 31, 2026 | 1.56 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.56 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 1.43 Mn |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 646,000.00 |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 878,000.00 |
| Mar 31, 2023 | 613,000.00 |
| Dec 31, 2022 | 967,000.00 |
| Sep 30, 2022 | 867,000.00 |
| Jun 30, 2022 | 910,000.00 |
| Mar 31, 2022 | 867,000.00 |
| Dec 31, 2021 | 1.09 Mn |
| Sep 30, 2021 | 724,000.00 |
API Access
Pyxis Tankers 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=accumulated-expenses&ticker=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();