Pangaea Logistics Solutions (PANL) Long-Term Debt Repayments (2014 - 2026)
Pangaea Logistics Solutions (PANL) recorded Long-Term Debt Repayments of $6.96 million in Q2 2026, up 8.6% from $6.41 million a year earlier but down 1.4% from the prior quarter.
Pangaea Logistics Solutions (PANL) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
On a TTM basis, Pangaea Logistics Solutions' Long-Term Debt Repayments came in at $27.47 million as of Jun 30, 2026, up 36.6% year-over-year; for FY2025, it came in at $26.05 million, down 21.3% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $33.08 million in FY2024 (+109.6%), $15.78 million in FY2023 (-0.3%), $15.83 million in FY2022 (-74.4%) and $61.96 million in FY2021 (+169.5%).
- Quarterly Long-Term Debt Repayments has ranged from $2.99 million in Q3 2021 to $22.22 million in Q2 2024 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has increased for four consecutive quarters, with growth averaging 27.6% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 567.0% in Q2 2024, against a decline of 90.2% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.06 million (Q1 2026), $6.94 million (Q4 2025) and $6.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 334.00 Mn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 7.00 Mn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 39.00 Mn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 254.47 Mn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 606.00 Mn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 1.34 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 1.23 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | - |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 1.45 Bn |
| 10 | Pangaea Logistics Solutions | 511.31 Mn | 118.82 Mn | - | 11.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.46 Mn |
| Mar 31, 2026 | 12.60 Mn |
| Dec 31, 2025 | 11.82 Mn |
| Sep 30, 2025 | 11.37 Mn |
| Jun 30, 2025 | 11.26 Mn |
| Mar 31, 2025 | 11.03 Mn |
| Dec 31, 2024 | 7.64 Mn |
| Sep 30, 2024 | 14.72 Mn |
| Jun 30, 2024 | 25.81 Mn |
| Mar 31, 2024 | 7.09 Mn |
| Dec 31, 2023 | 11.37 Mn |
| Sep 30, 2023 | 7.42 Mn |
| Jun 30, 2023 | 7.40 Mn |
| Mar 31, 2023 | 9.83 Mn |
| Dec 31, 2022 | 12.25 Mn |
| Sep 30, 2022 | 7.21 Mn |
| Jun 30, 2022 | 9.63 Mn |
| Mar 31, 2022 | 7.19 Mn |
| Dec 31, 2021 | 6.78 Mn |
| Sep 30, 2021 | 8.15 Mn |
Pangaea Logistics Solutions Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();