Pangaea Logistics Solutions (PANL) Other Operating Expenses (2014 - 2026)
Pangaea Logistics Solutions' Other Operating Expenses came in at $156.81 million for Q2 2026, up 7.5% from $145.86 million a year earlier and up 4.5% from the prior quarter.
Pangaea Logistics Solutions (PANL) Other Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pangaea Logistics Solutions reported Other Operating Expenses of $608.46 million, up 17.7% year-over-year; for FY2025, it was $560.03 million, up 20.8% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $463.46 million in FY2024 (+7.3%), $431.87 million in FY2023 (-24.8%), $574.1 million in FY2022 (-7.4%) and $620.27 million in FY2021 (+78.6%).
- The five-year range for quarterly Other Operating Expenses is $86.44 million (Q1 2024) to $199.5 million (Q4 2021).
- Year-over-year, Other Operating Expenses has increased for nine consecutive quarters, with growth averaging 19.6% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 103.2%), and the weakest in Q4 2022 (a decline of 47.2%).
- Business Quant data shows PANL's Other Operating Expenses at $150.09 million (Q1 2026), $159.7 million (Q4 2025) and $141.87 million (Q3 2025) in the three quarters before Q2 2026.
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 |
|---|---|
| Jun 30, 2026 | 156.81 Mn |
| Mar 31, 2026 | 150.09 Mn |
| Dec 31, 2025 | 159.70 Mn |
| Sep 30, 2025 | 141.87 Mn |
| Jun 30, 2025 | 145.86 Mn |
| Mar 31, 2025 | 112.60 Mn |
| Dec 31, 2024 | 126.33 Mn |
| Sep 30, 2024 | 132.07 Mn |
| Jun 30, 2024 | 118.85 Mn |
| Mar 31, 2024 | 86.44 Mn |
| Dec 31, 2023 | 115.60 Mn |
| Sep 30, 2023 | 110.40 Mn |
| Jun 30, 2023 | 104.30 Mn |
| Mar 31, 2023 | 101.51 Mn |
| Dec 31, 2022 | 105.30 Mn |
| Sep 30, 2022 | 148.30 Mn |
| Jun 30, 2022 | 154.10 Mn |
| Mar 31, 2022 | 166.50 Mn |
| Dec 31, 2021 | 199.50 Mn |
| Sep 30, 2021 | 183.10 Mn |
Pangaea Logistics Solutions Other Operating Expenses 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-operating-expenses&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();