Pangaea Logistics Solutions (PANL) EBITDA (2014 - 2026)
Pangaea Logistics Solutions' EBITDA came in at $33.78 million for Q2 2026, up 137.0% from $14.25 million a year earlier and up 51.2% from the prior quarter.
Powered by 
Analysis
Pangaea Logistics Solutions (PANL) EBITDA (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pangaea Logistics Solutions reported EBITDA of $112.44 million, up 55.3% year-over-year; for FY2025, it was $83.42 million, up 5.8% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $78.83 million in FY2024 (+5.5%), $74.69 million in FY2023 (-44.7%), $135 million in FY2022 (+32.6%) and $101.85 million in FY2021 (+177.1%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q3 2022.
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 28.8% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2021 (growth of 197.7%), and the weakest in Q2 2023 (a decline of 65.7%).
- Business Quant data shows PANL's EBITDA at $22.34 million (Q1 2026), $29.18 million (Q4 2025) and $27.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Pangaea Logistics Solutions | 524.44 Mn | 178.00 Mn | - | 33.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.78 Mn |
| Mar 31, 2026 | 22.34 Mn |
| Dec 31, 2025 | 29.18 Mn |
| Sep 30, 2025 | 27.14 Mn |
| Jun 30, 2025 | 14.25 Mn |
| Mar 31, 2025 | 12.85 Mn |
| Dec 31, 2024 | 22.57 Mn |
| Sep 30, 2024 | 22.72 Mn |
| Jun 30, 2024 | 15.07 Mn |
| Mar 31, 2024 | 18.46 Mn |
| Dec 31, 2023 | 18.12 Mn |
| Sep 30, 2023 | 27.79 Mn |
| Jun 30, 2023 | 14.98 Mn |
| Mar 31, 2023 | 13.82 Mn |
| Dec 31, 2022 | 26.23 Mn |
| Sep 30, 2022 | 37.77 Mn |
| Jun 30, 2022 | 43.69 Mn |
| Mar 31, 2022 | 27.20 Mn |
| Dec 31, 2021 | 37.32 Mn |
| Sep 30, 2021 | 32.76 Mn |
API Access
Pangaea Logistics Solutions EBITDA 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=ebitda&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();