Pangaea Logistics Solutions (PANL) Total Liabilities (2013 - 2026)
Pangaea Logistics Solutions' Total Liabilities was $462 million in Q2 2026, up 1.1% from $456.87 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Pangaea Logistics Solutions came in at $453.36 million, down 1.8% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $461.79 million in FY2024 (+37.9%), $334.98 million in FY2023 (-11.7%), $379.52 million in FY2022 (-6.6%) and $406.34 million in FY2021 (+88.1%).
- Quarterly Total Liabilities has moved between $316.11 million (Q2 2024) and $466.59 million (Q3 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 19.4%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 98.9%); the worst was Q2 2024 (a decline of 12.9%).
- Per Business Quant data, PANL's Total Liabilities in the three quarters before Q2 2026 was $463.86 million (Q1 2026), $453.36 million (Q4 2025) and $466.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 462.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 462.00 Mn |
| Mar 31, 2026 | 463.86 Mn |
| Dec 31, 2025 | 453.36 Mn |
| Sep 30, 2025 | 466.59 Mn |
| Jun 30, 2025 | 456.87 Mn |
| Mar 31, 2025 | 450.84 Mn |
| Dec 31, 2024 | 461.79 Mn |
| Sep 30, 2024 | 370.35 Mn |
| Jun 30, 2024 | 316.11 Mn |
| Mar 31, 2024 | 324.00 Mn |
| Dec 31, 2023 | 334.98 Mn |
| Sep 30, 2023 | 351.22 Mn |
| Jun 30, 2023 | 363.00 Mn |
| Mar 31, 2023 | 367.04 Mn |
| Dec 31, 2022 | 379.52 Mn |
| Sep 30, 2022 | 381.31 Mn |
| Jun 30, 2022 | 413.77 Mn |
| Mar 31, 2022 | 414.47 Mn |
| Dec 31, 2021 | 406.34 Mn |
| Sep 30, 2021 | 372.39 Mn |
API Access
Pangaea Logistics Solutions Total Liabilities 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-liabilities&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();