Pyxis Tankers (PXS) Depreciation and Depletion (2015 - 2026)
Pyxis Tankers (PXS) reported Depreciation and Depletion of $1.89 million for Q2 2026, up 0.1% from $1.89 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Pyxis Tankers (PXS) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pyxis Tankers' Depreciation and Depletion came in at $7.58 million, up 0.3% year-over-year; for FY2025, it came in at $7.57 million, up 9.7% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $6.9 million in FY2024 (+25.5%), $5.5 million in FY2023 (-9.8%), $6.1 million in FY2022 (+24.5%) and $4.9 million in FY2021 (+10.9%).
- Five-year quarterly Depreciation and Depletion spans a low of $1.23 million in Q2 2023 and a high of $1.91 million in Q4 2025.
- Year over year, Depreciation and Depletion has now increased in each of the last 11 quarters, with growth averaging 13.9% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2024 (growth of 44.6%); the low point was Q2 2023 (a decline of 19.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.87 million (Q1 2026), $1.91 million (Q4 2025) and $1.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 643.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 363.00 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | Pyxis Tankers | 57.74 Mn | -151.25 Mn | 8.35 Bn | 1.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Mn |
| Mar 31, 2026 | 1.87 Mn |
| Dec 31, 2025 | 1.91 Mn |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 1.86 Mn |
| Dec 31, 2024 | 1.90 Mn |
| Sep 30, 2024 | 1.91 Mn |
| Jun 30, 2024 | 1.63 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 1.55 Mn |
| Sep 30, 2023 | 1.32 Mn |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 1.52 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 1.37 Mn |
| Sep 30, 2021 | 1.33 Mn |
API Access
Pyxis Tankers Depreciation and Depletion 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=depreciation-and-depletion&ticker=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();