Pangaea Logistics Solutions (PANL) Retained Earnings (2013 - 2026)
Pangaea Logistics Solutions (PANL) posted Retained Earnings of $189.23 million for Q2 2026, up 22.4% from $154.61 million a year earlier and up 3.8% from the prior quarter.
Pangaea Logistics Solutions (PANL) Retained Earnings (2013 - 2026) Analysis & Trends
At the end of FY2025, Pangaea Logistics Solutions' Retained Earnings came in at $172.26 million, up 1.8% from FY2024.
- Annual Retained Earnings has increased for seven consecutive years, with a five-year compound annual growth rate of 49.4% (FY2020 to FY2025).
- In prior years, Pangaea Logistics Solutions' Retained Earnings was $169.16 million in FY2024 (+6.4%), $159.03 million in FY2023 (+5.1%), $151.33 million in FY2022 (+76.7%) and $85.66 million in FY2021 (+269.6%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2013.
- On a year-over-year basis, Retained Earnings has increased in each of the last three quarters, with growth averaging 4.4% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q3 2021, with growth of 337.4%; the weakest was Q2 2025, with a decline of 6.3%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $182.28 million (Q1 2026), $172.26 million (Q4 2025) and $163.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 71.58 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 11.35 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 14.26 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 18.83 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 13.91 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 44.46 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 14.27 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 4.29 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 8.31 Bn |
| 10 | Pangaea Logistics Solutions | 525.75 Mn | 179.31 Mn | - | 189.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.23 Mn |
| Mar 31, 2026 | 182.28 Mn |
| Dec 31, 2025 | 172.26 Mn |
| Sep 30, 2025 | 163.59 Mn |
| Jun 30, 2025 | 154.61 Mn |
| Mar 31, 2025 | 160.60 Mn |
| Dec 31, 2024 | 169.16 Mn |
| Sep 30, 2024 | 165.42 Mn |
| Jun 30, 2024 | 165.00 Mn |
| Mar 31, 2024 | 166.01 Mn |
| Dec 31, 2023 | 159.03 Mn |
| Sep 30, 2023 | 162.54 Mn |
| Jun 30, 2023 | 148.33 Mn |
| Mar 31, 2023 | 150.14 Mn |
| Dec 31, 2022 | 151.33 Mn |
| Sep 30, 2022 | 140.70 Mn |
| Jun 30, 2022 | 125.25 Mn |
| Mar 31, 2022 | 103.55 Mn |
| Dec 31, 2021 | 85.66 Mn |
| Sep 30, 2021 | 72.17 Mn |
Pangaea Logistics Solutions Retained Earnings 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=retained-earnings&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();