Genco Shipping & Trading (GNK) Property, Plant & Equipment (Net) (2009 - 2026)
Genco Shipping & Trading (GNK) posted Property, Plant & Equipment (Net) of $7.14 million for Q2 2026, down 5.2% from $7.52 million a year earlier but up 2.0% from the prior quarter.
Genco Shipping & Trading (GNK) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Genco Shipping & Trading's Property, Plant & Equipment (Net) came in at $7.49 million, up 4.3% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, Genco Shipping & Trading's Property, Plant & Equipment (Net) was $7.18 million in FY2024 (+1.6%), $7.07 million in FY2023 (-17.4%), $8.56 million in FY2022 (+18.2%) and $7.24 million in FY2021 (+13.2%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $6.07 million in Q3 2021 to a high of $8.56 million in Q4 2022 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2022, with growth of 36.4%; the weakest was Q3 2021, with a decline of 19.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $6.99 million (Q1 2026), $7.49 million (Q4 2025) and $7.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 60.63 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 37.14 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 40.23 Bn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 37.89 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 36.86 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 42.21 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 49.37 Bn |
| 10 | Genco Shipping & Trading | 1.12 Bn | 844.53 Mn | 92.30 Mn | 7.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.14 Mn |
| Mar 31, 2026 | 6.99 Mn |
| Dec 31, 2025 | 7.49 Mn |
| Sep 30, 2025 | 7.97 Mn |
| Jun 30, 2025 | 7.52 Mn |
| Mar 31, 2025 | 7.23 Mn |
| Dec 31, 2024 | 7.18 Mn |
| Sep 30, 2024 | 7.23 Mn |
| Jun 30, 2024 | 7.13 Mn |
| Mar 31, 2024 | 7.21 Mn |
| Dec 31, 2023 | 7.07 Mn |
| Sep 30, 2023 | 7.44 Mn |
| Jun 30, 2023 | 8.13 Mn |
| Mar 31, 2023 | 8.37 Mn |
| Dec 31, 2022 | 8.56 Mn |
| Sep 30, 2022 | 8.13 Mn |
| Jun 30, 2022 | 8.01 Mn |
| Mar 31, 2022 | 7.78 Mn |
| Dec 31, 2021 | 7.24 Mn |
| Sep 30, 2021 | 6.07 Mn |
Genco Shipping & Trading Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GNK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GNK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();