Pangaea Logistics Solutions (PANL) Revenue (2014 - 2026)
Pangaea Logistics Solutions (PANL) reported Revenue of $187.12 million for Q2 2026, up 19.4% from $156.69 million a year earlier and up 9.7% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Revenue (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pangaea Logistics Solutions' Revenue came in at $710.25 million, up 22.5% year-over-year; for FY2025, it was $632.04 million, up 17.8% from FY2024.
- Revenue has a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- By year, Revenue came in at $536.54 million in FY2024 (+7.5%), $499.27 million in FY2023 (-28.6%), $699.71 million in FY2022 (-2.6%) and $718.1 million in FY2021 (+87.5%).
- The Q2 2026 figure ranks as the highest quarterly Revenue since Q2 2022.
- Year over year, Revenue has now increased in each of the last nine quarters, with growth averaging 19.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2021 (growth of 107.8%); the low point was Q4 2022 (a decline of 45.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $170.58 million (Q1 2026), $183.88 million (Q4 2025) and $168.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 6.86 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 3.94 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 3.01 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 22.83 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 3.47 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 25.01 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 19.76 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.55 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 5.10 Bn |
| 10 | Pangaea Logistics Solutions | 525.75 Mn | 179.31 Mn | - | 187.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.12 Mn |
| Mar 31, 2026 | 170.58 Mn |
| Dec 31, 2025 | 183.88 Mn |
| Sep 30, 2025 | 168.67 Mn |
| Jun 30, 2025 | 156.69 Mn |
| Mar 31, 2025 | 122.80 Mn |
| Dec 31, 2024 | 147.17 Mn |
| Sep 30, 2024 | 153.12 Mn |
| Jun 30, 2024 | 131.50 Mn |
| Mar 31, 2024 | 104.75 Mn |
| Dec 31, 2023 | 131.90 Mn |
| Sep 30, 2023 | 135.60 Mn |
| Jun 30, 2023 | 118.08 Mn |
| Mar 31, 2023 | 113.70 Mn |
| Dec 31, 2022 | 127.90 Mn |
| Sep 30, 2022 | 184.50 Mn |
| Jun 30, 2022 | 195.60 Mn |
| Mar 31, 2022 | 191.70 Mn |
| Dec 31, 2021 | 234.60 Mn |
| Sep 30, 2021 | 213.10 Mn |
API Access
Pangaea Logistics Solutions Revenue 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=revenue&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();