Pyxis Tankers (PXS) Cash from Operations (2015 - 2026)
Pyxis Tankers (PXS) recorded Cash from Operations of $5.95 million in the quarter ended Jun 30, 2026, up 81.8% from $3.27 million a year earlier and up 67.4% from the prior quarter.
Pyxis Tankers (PXS) Cash from Operations (2015 - 2026) Analysis & Trends
On a TTM basis, Pyxis Tankers' Cash from Operations came in at $15.56 million as of Jun 30, 2026, down 1.0% year-over-year; for the year ended Dec 31, 2025, it came in at $13.61 million, down 27.8% from the prior year.
- Across earlier years, Cash from Operations came in at $18.85 million in the year ended Dec 31, 2024 (-12.1%), $21.44 million in the year ended Dec 31, 2023 (+159.1%), $8.27 million in the year ended Dec 31, 2022 and -$896,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Cash from Operations since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Cash from Operations rose in four of the last eight quarters, with growth averaging 38.2%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 331.9% in the quarter ended Dec 31, 2024, against a decline of 75.7% in the quarter ended Sep 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.55 million (quarter ended Mar 31, 2026), $2.43 million (quarter ended Dec 31, 2025) and $3.63 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 3.08 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.33 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.25 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 859.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 1.05 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 3.27 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 1.60 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 272.70 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | - |
| 10 | Pyxis Tankers | 74.70 Mn | -127.19 Mn | - | 5.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.95 Mn |
| Mar 31, 2026 | 3.55 Mn |
| Dec 31, 2025 | 2.43 Mn |
| Sep 30, 2025 | 3.63 Mn |
| Jun 30, 2025 | 3.27 Mn |
| Mar 31, 2025 | 4.28 Mn |
| Dec 31, 2024 | 6.29 Mn |
| Sep 30, 2024 | 1.87 Mn |
| Jun 30, 2024 | 6.47 Mn |
| Mar 31, 2024 | 4.21 Mn |
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 7.72 Mn |
| Jun 30, 2023 | 5.70 Mn |
| Mar 31, 2023 | 6.57 Mn |
| Dec 31, 2022 | 5.10 Mn |
| Sep 30, 2022 | 2.40 Mn |
| Jun 30, 2022 | 3.66 Mn |
| Mar 31, 2022 | -2.89 Mn |
| Dec 31, 2021 | 2.53 Mn |
| Sep 30, 2021 | -2.30 Mn |
Pyxis Tankers Cash from Operations 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-from-operations&ticker=PXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();