Pangaea Logistics Solutions (PANL) Net Income (2014 - 2026)
Pangaea Logistics Solutions (PANL) recorded Net Income of $10.48 million in Q2 2026, compared with -$2.9 million a year earlier and down 23.3% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Net Income (2014 - 2026) Analysis & Trends
On a TTM basis, Pangaea Logistics Solutions' Net Income came in at $49.41 million as of Jun 30, 2026, up 393.6% year-over-year; for FY2025, it was $20.17 million, down 36.5% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $31.77 million in FY2024 (+11.3%), $28.54 million in FY2023 (-66.6%), $85.51 million in FY2022 (+18.1%) and $72.37 million in FY2021 (+470.2%).
- Quarterly Net Income has ranged from -$2.9 million in Q2 2025 to $28.8 million in Q3 2021 over the past five years.
- On a year-over-year basis, Net Income rose in three of the last four quarters, with growth averaging 97.9%.
- Peak year-over-year performance for Net Income in the last five years was growth of 311.5% in Q4 2024, against a decline of 90.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.67 million (Q1 2026), $12.28 million (Q4 2025) and $12.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 1.99 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.00 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 740.28 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 604.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 734.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 1.60 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 350.60 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 625.00 Mn |
| 10 | Pangaea Logistics Solutions | 525.10 Mn | 178.66 Mn | - | 10.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.48 Mn |
| Mar 31, 2026 | 13.67 Mn |
| Dec 31, 2025 | 12.28 Mn |
| Sep 30, 2025 | 12.99 Mn |
| Jun 30, 2025 | -2.90 Mn |
| Mar 31, 2025 | -2.20 Mn |
| Dec 31, 2024 | 9.05 Mn |
| Sep 30, 2024 | 6.06 Mn |
| Jun 30, 2024 | 3.99 Mn |
| Mar 31, 2024 | 12.67 Mn |
| Dec 31, 2023 | 2.20 Mn |
| Sep 30, 2023 | 20.20 Mn |
| Jun 30, 2023 | 2.77 Mn |
| Mar 31, 2023 | 3.40 Mn |
| Dec 31, 2022 | 15.80 Mn |
| Sep 30, 2022 | 19.60 Mn |
| Jun 30, 2022 | 27.70 Mn |
| Mar 31, 2022 | 22.30 Mn |
| Dec 31, 2021 | 17.60 Mn |
| Sep 30, 2021 | 28.80 Mn |
API Access
Pangaea Logistics Solutions Net Income 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=net-income&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();