Pangaea Logistics Solutions (PANL) Total Debt (2013 - 2026)
Pangaea Logistics Solutions (PANL) posted Total Debt of $275.79 million for Q2 2026, up 5.5% from $261.34 million a year earlier and up 6.2% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Total Debt (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions' Total Debt came in at $267.36 million, down 2.8% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In prior years, Pangaea Logistics Solutions' Total Debt was $274.94 million in FY2024 (+49.8%), $183.56 million in FY2023 (+60.2%), $114.6 million in FY2022 (-5.5%) and $121.28 million in FY2021 (+19.0%).
- The Q2 2026 figure stands as the highest quarterly Total Debt in data going back to Q4 2013.
- On a year-over-year basis, Total Debt increased in six of the last eight quarters, with growth averaging 69.0%.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2025, with growth of 188.7%; the weakest was Q2 2024, with a decline of 14.4%.
- According to Business Quant data, Total Debt for the three prior quarters was $259.58 million (Q1 2026), $267.36 million (Q4 2025) and $272.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 30.33 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 18.86 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 18.18 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 24.48 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 16.62 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 25.71 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 15.05 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 20.00 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 67.07 Mn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 275.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 275.79 Mn |
| Mar 31, 2026 | 259.58 Mn |
| Dec 31, 2025 | 267.36 Mn |
| Sep 30, 2025 | 272.87 Mn |
| Jun 30, 2025 | 261.34 Mn |
| Mar 31, 2025 | 267.61 Mn |
| Dec 31, 2024 | 274.94 Mn |
| Sep 30, 2024 | 133.55 Mn |
| Jun 30, 2024 | 90.52 Mn |
| Mar 31, 2024 | 95.93 Mn |
| Dec 31, 2023 | 183.56 Mn |
| Sep 30, 2023 | 102.46 Mn |
| Jun 30, 2023 | 105.70 Mn |
| Mar 31, 2023 | 108.94 Mn |
| Dec 31, 2022 | 114.60 Mn |
| Sep 30, 2022 | 109.36 Mn |
| Jun 30, 2022 | 112.48 Mn |
| Mar 31, 2022 | 118.03 Mn |
| Dec 31, 2021 | 121.28 Mn |
| Sep 30, 2021 | 124.44 Mn |
API Access
Pangaea Logistics Solutions Total 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=total-debt&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();