Pangaea Logistics Solutions (PANL) Other Non-Current Liabilities (2013 - 2024)
Pangaea Logistics Solutions (PANL) posted Other Non-Current Liabilities of $16.36 million for Q3 2024, down 11.6% from $18.5 million a year earlier and down 1.6% from the prior quarter.
Pangaea Logistics Solutions (PANL) Other Non-Current Liabilities (2013 - 2024) Analysis & Trends
At the end of FY2023, Pangaea Logistics Solutions' Other Non-Current Liabilities came in at $17.94 million, down 10.2% from FY2022.
- Annual Other Non-Current Liabilities shows a four-year compound annual growth rate of 38.8% (FY2019 to FY2023).
- In prior years, Pangaea Logistics Solutions' Other Non-Current Liabilities was $19.97 million in FY2022 (+12.2%), $17.81 million in FY2021 (+75.7%), $10.14 million in FY2020 (+109.9%) and $4.83 million in FY2019.
- The Q3 2024 figure stands as the lowest quarterly Other Non-Current Liabilities since Q3 2021.
- On a year-over-year basis, Other Non-Current Liabilities has declined in each of the last six quarters, with an average decline of 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q2 2021, with growth of 193.8%; the weakest was Q3 2023, with a decline of 13.0%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $16.63 million (Q2 2024), $18.75 million (Q1 2024) and $17.94 million (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Pangaea Logistics Solutions | 525.10 Mn | 178.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 16.36 Mn |
| Jun 30, 2024 | 16.63 Mn |
| Mar 31, 2024 | 18.75 Mn |
| Dec 31, 2023 | 17.94 Mn |
| Sep 30, 2023 | 18.50 Mn |
| Jun 30, 2023 | 18.23 Mn |
| Mar 31, 2023 | 19.83 Mn |
| Dec 31, 2022 | 19.97 Mn |
| Sep 30, 2022 | 21.27 Mn |
| Jun 30, 2022 | 18.85 Mn |
| Mar 31, 2022 | 17.15 Mn |
| Dec 31, 2021 | 17.81 Mn |
| Sep 30, 2021 | 15.12 Mn |
| Jun 30, 2021 | 15.01 Mn |
| Mar 31, 2021 | 10.41 Mn |
| Dec 31, 2020 | 10.14 Mn |
| Sep 30, 2020 | 10.06 Mn |
| Jun 30, 2020 | 5.11 Mn |
| Mar 31, 2020 | 5.05 Mn |
| Dec 31, 2019 | 4.83 Mn |
Pangaea Logistics Solutions Other Non-Current 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=other-non-current-liabilities&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();