Pyxis Tankers (PXS) Cash & Equivalents (2012 - 2026)
Pyxis Tankers (PXS) recorded Cash & Equivalents of $58.15 million in the quarter ended Jun 30, 2026, up 111.9% from $27.45 million a year earlier and up 120.5% from the prior quarter.
Pyxis Tankers (PXS) Cash & Equivalents (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Pyxis Tankers reported Cash & Equivalents of $35.56 million, up 67.4% from the prior year.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 47.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Cash & Equivalents came in at $21.24 million in the year ended Dec 31, 2024 (-38.5%), $34.54 million in the year ended Dec 31, 2023 (+249.8%), $9.87 million in the year ended Dec 31, 2022 (+59.8%) and $6.18 million in the year ended Dec 31, 2021 (+19.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Cash & Equivalents in data going back to the quarter ended Dec 31, 2012.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 15.0% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 281.5% in the quarter ended Dec 31, 2021, against a decline of 40.6% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.38 million (quarter ended Mar 31, 2026), $35.56 million (quarter ended Dec 31, 2025) and $28.9 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 1.61 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 264.59 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 1.07 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.65 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 10.17 Bn |
| 10 | Pyxis Tankers | 80.54 Mn | -121.35 Mn | - | 58.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.15 Mn |
| Mar 31, 2026 | 26.38 Mn |
| Dec 31, 2025 | 35.56 Mn |
| Sep 30, 2025 | 28.90 Mn |
| Jun 30, 2025 | 27.45 Mn |
| Mar 31, 2025 | 23.19 Mn |
| Dec 31, 2024 | 21.24 Mn |
| Sep 30, 2024 | 36.34 Mn |
| Jun 30, 2024 | 25.41 Mn |
| Mar 31, 2024 | 36.34 Mn |
| Dec 31, 2023 | 34.54 Mn |
| Sep 30, 2023 | 31.80 Mn |
| Jun 30, 2023 | 32.05 Mn |
| Mar 31, 2023 | 28.15 Mn |
| Dec 31, 2022 | 9.87 Mn |
| Sep 30, 2022 | 9.87 Mn |
| Jun 30, 2022 | 9.87 Mn |
| Mar 31, 2022 | 9.87 Mn |
| Dec 31, 2021 | 6.18 Mn |
| Sep 30, 2021 | 7.74 Mn |
Pyxis Tankers Cash & Equivalents 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=cash-and-equivalents&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();