Pangaea Logistics Solutions (PANL) Non-Current Debt (2013 - 2026)
Pangaea Logistics Solutions' Non-Current Debt was $235.64 million in Q2 2026, down 3.7% from $244.69 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Non-Current Debt (2013 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Pangaea Logistics Solutions came in at $249.64 million, down 2.9% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of 41.2% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $257.18 million in FY2024 (+70.0%), $151.32 million in FY2023 (+53.1%), $98.82 million in FY2022 (-6.6%) and $105.84 million in FY2021 (+137.8%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Debt since Q3 2024.
- Compared with a year earlier, Non-Current Debt has declined for three straight quarters, with growth averaging 92.0% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q1 2025 (growth of 280.7%); the worst was Q1 2024 (a decline of 31.0%).
- Per Business Quant data, PANL's Non-Current Debt in the three quarters before Q2 2026 was $242.59 million (Q1 2026), $249.64 million (Q4 2025) and $256.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 29.04 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 17.16 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 16.08 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 23.85 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 15.97 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 10.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 40.10 Mn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 235.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235.64 Mn |
| Mar 31, 2026 | 242.59 Mn |
| Dec 31, 2025 | 249.64 Mn |
| Sep 30, 2025 | 256.17 Mn |
| Jun 30, 2025 | 244.69 Mn |
| Mar 31, 2025 | 250.99 Mn |
| Dec 31, 2024 | 257.18 Mn |
| Sep 30, 2024 | 117.01 Mn |
| Jun 30, 2024 | 78.47 Mn |
| Mar 31, 2024 | 65.93 Mn |
| Dec 31, 2023 | 151.32 Mn |
| Sep 30, 2023 | 70.95 Mn |
| Jun 30, 2023 | 73.44 Mn |
| Mar 31, 2023 | 95.56 Mn |
| Dec 31, 2022 | 98.82 Mn |
| Sep 30, 2022 | 96.45 Mn |
| Jun 30, 2022 | 99.59 Mn |
| Mar 31, 2022 | 102.72 Mn |
| Dec 31, 2021 | 105.84 Mn |
| Sep 30, 2021 | 108.87 Mn |
API Access
Pangaea Logistics Solutions Non-Current Debt 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-debt&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();