Pyxis Tankers (PXS) Sales of Property, Plant and Equipment (2020 - 2023)
Pyxis Tankers' Sales of Property, Plant and Equipment was $39.92 million in the quarter ended Dec 31, 2023.
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Analysis
Pyxis Tankers (PXS) Sales of Property, Plant and Equipment (2020 - 2023) Analysis & Trends
For the year ended Dec 31, 2023, Sales of Property, Plant and Equipment at Pyxis Tankers came in at $64.21 million, up 654.6% from the prior year.
- Sales of Property, Plant and Equipment shows a four-year compound annual growth rate of 48.5% (years ended Dec 2019 to Dec 2023).
- In earlier years, Sales of Property, Plant and Equipment was $8.51 million in the year ended Dec 31, 2022, $13.2 million in the year ended Dec 31, 2020 (unchanged) and $13.2 million in the year ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 73.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 2.89 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 15.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 116.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 24.00 Mn |
| 10 | Pyxis Tankers | 80.54 Mn | -121.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 39.92 Mn |
| Jun 30, 2023 | -1,000.00 |
| Mar 31, 2023 | 24.29 Mn |
| Mar 31, 2022 | 8.51 Mn |
| Mar 31, 2020 | 13.20 Mn |
API Access
Pyxis Tankers Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();