Pangaea Logistics Solutions (PANL) Non-Current Assets (2013 - 2026)
Pangaea Logistics Solutions' Non-Current Assets came in at $690.73 million for Q2 2026, down 5.6% from $731.99 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions' Non-Current Assets was $712.32 million, down 4.3% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $744.46 million in FY2024 (+45.0%), $513.35 million in FY2023 (-2.4%), $525.73 million in FY2022 (+0.5%) and $523.06 million in FY2021 (+54.3%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q3 2024.
- Year-over-year, Non-Current Assets has declined for three consecutive quarters, with growth averaging 19.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2022 (growth of 54.4%), and the weakest in Q1 2026 (a decline of 5.7%).
- Business Quant data shows PANL's Non-Current Assets at $699.91 million (Q1 2026), $712.32 million (Q4 2025) and $719.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 65.68 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 41.32 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 62.05 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 53.72 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 42.32 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 71.03 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 72.09 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 4.73 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 13.91 Bn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 690.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690.73 Mn |
| Mar 31, 2026 | 699.91 Mn |
| Dec 31, 2025 | 712.32 Mn |
| Sep 30, 2025 | 719.52 Mn |
| Jun 30, 2025 | 731.99 Mn |
| Mar 31, 2025 | 742.09 Mn |
| Dec 31, 2024 | 744.46 Mn |
| Sep 30, 2024 | 552.93 Mn |
| Jun 30, 2024 | 511.57 Mn |
| Mar 31, 2024 | 507.75 Mn |
| Dec 31, 2023 | 513.35 Mn |
| Sep 30, 2023 | 530.11 Mn |
| Jun 30, 2023 | 537.64 Mn |
| Mar 31, 2023 | 510.47 Mn |
| Dec 31, 2022 | 525.73 Mn |
| Sep 30, 2022 | 516.23 Mn |
| Jun 30, 2022 | 520.46 Mn |
| Mar 31, 2022 | 524.19 Mn |
| Dec 31, 2021 | 523.06 Mn |
| Sep 30, 2021 | 488.60 Mn |
API Access
Pangaea Logistics Solutions Non-Current Assets 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=non-current-assets&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();