Pangaea Logistics Solutions (PANL) Property, Plant & Equipment (Net) (2013 - 2026)
Pangaea Logistics Solutions' Property, Plant & Equipment (Net) was $667.19 million in Q2 2026, down 3.9% from $694.4 million a year earlier and down 1.2% from the prior quarter.
Pangaea Logistics Solutions (PANL) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Pangaea Logistics Solutions came in at $677.52 million, down 4.3% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $707.83 million in FY2024 (+49.2%), $474.27 million in FY2023 (-0.5%), $476.52 million in FY2022 (+1.0%) and $471.91 million in FY2021 (+70.5%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for three straight quarters, with growth averaging 22.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2021 (growth of 70.5%); the worst was Q2 2024 (a decline of 4.5%).
- Per Business Quant data, PANL's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $674.96 million (Q1 2026), $677.52 million (Q4 2025) and $683.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.33 Bn | 166.58 Bn | - | 60.63 Bn |
| 2 | United Parcel Service | 93.22 Bn | 70.04 Bn | - | 37.92 Bn |
| 3 | Csx | 91.93 Bn | 87.15 Bn | - | 37.14 Bn |
| 4 | Canadian Pacific Kansas City | 82.69 Bn | 81.72 Bn | - | 40.31 Bn |
| 5 | Fedex | 75.05 Bn | 41.25 Bn | - | 39.12 Bn |
| 6 | Norfolk Southern | 72.82 Bn | 67.28 Bn | - | 36.86 Bn |
| 7 | Delta Air Lines | 59.61 Bn | 41.79 Bn | - | 42.21 Bn |
| 8 | United Airlines Holdings | 38.88 Bn | -18.81 Bn | - | 49.37 Bn |
| 9 | Old Dominion Freight Line | 34.89 Bn | 33.73 Bn | - | 4.41 Bn |
| 10 | Pangaea Logistics Solutions | 528.70 Mn | 85.30 Mn | - | 661.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 661.69 Mn |
| Jun 30, 2026 | 667.19 Mn |
| Mar 31, 2026 | 674.96 Mn |
| Dec 31, 2025 | 677.52 Mn |
| Sep 30, 2025 | 683.94 Mn |
| Jun 30, 2025 | 694.40 Mn |
| Mar 31, 2025 | 705.35 Mn |
| Dec 31, 2024 | 707.83 Mn |
| Sep 30, 2024 | 514.58 Mn |
| Jun 30, 2024 | 464.35 Mn |
| Mar 31, 2024 | 469.08 Mn |
| Dec 31, 2023 | 474.27 Mn |
| Sep 30, 2023 | 479.98 Mn |
| Jun 30, 2023 | 486.38 Mn |
| Mar 31, 2023 | 461.74 Mn |
| Dec 31, 2022 | 476.52 Mn |
| Sep 30, 2022 | 465.14 Mn |
| Jun 30, 2022 | 469.97 Mn |
| Mar 31, 2022 | 474.30 Mn |
| Dec 31, 2021 | 471.91 Mn |
Pangaea Logistics Solutions 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=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PANL", "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=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();