Pangaea Logistics Solutions (PANL) EBIT (2014 - 2026)
Pangaea Logistics Solutions' EBIT came in at $21.35 million for Q2 2026, up 484.2% from $3.65 million a year earlier and up 103.9% from the prior quarter.
Pangaea Logistics Solutions (PANL) EBIT (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pangaea Logistics Solutions reported EBIT of $66.17 million, up 81.9% year-over-year; for FY2025, it was $40.94 million, down 15.5% from FY2024.
- EBIT carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, EBIT was $48.45 million in FY2024 (+8.6%), $44.62 million in FY2023 (-57.7%), $105.51 million in FY2022 (+33.8%) and $78.87 million in FY2021 (+300.4%).
- The Q2 2026 figure represents the highest quarterly EBIT since Q3 2022.
- Year-over-year, EBIT has increased for four consecutive quarters, with growth averaging 82.8% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q2 2026 (growth of 484.2%), and the weakest in Q2 2023 (a decline of 78.4%).
- Business Quant data shows PANL's EBIT at $10.47 million (Q1 2026), $17.44 million (Q4 2025) and $16.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 2.76 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.51 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.06 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 930.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.12 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 1.86 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 465.30 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 668.82 Mn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 21.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.35 Mn |
| Mar 31, 2026 | 10.47 Mn |
| Dec 31, 2025 | 17.44 Mn |
| Sep 30, 2025 | 16.92 Mn |
| Jun 30, 2025 | 3.65 Mn |
| Mar 31, 2025 | 2.93 Mn |
| Dec 31, 2024 | 14.81 Mn |
| Sep 30, 2024 | 15.00 Mn |
| Jun 30, 2024 | 7.61 Mn |
| Mar 31, 2024 | 11.03 Mn |
| Dec 31, 2023 | 10.60 Mn |
| Sep 30, 2023 | 19.70 Mn |
| Jun 30, 2023 | 7.85 Mn |
| Mar 31, 2023 | 6.50 Mn |
| Dec 31, 2022 | 18.70 Mn |
| Sep 30, 2022 | 30.40 Mn |
| Jun 30, 2022 | 36.40 Mn |
| Mar 31, 2022 | 19.90 Mn |
| Dec 31, 2021 | 30.80 Mn |
| Sep 30, 2021 | 25.60 Mn |
Pangaea Logistics Solutions EBIT 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=ebit&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();