Pangaea Logistics Solutions (PANL) Shares Outstanding (Diluted) (2014 - 2026)
Pangaea Logistics Solutions (PANL) posted Shares Outstanding (Diluted) of 65.03 million for Q2 2026, up 1.5% from 64.04 million a year earlier and up 0.4% from the prior quarter.
Pangaea Logistics Solutions (PANL) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Pangaea Logistics Solutions' Shares Outstanding (Diluted) came in at 64.7 million, up 40.5% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for 11 consecutive years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Pangaea Logistics Solutions' Shares Outstanding (Diluted) was 46.05 million in FY2024 (+1.3%), 45.48 million in FY2023 (+0.9%), 45.06 million in FY2022 (+0.5%) and 44.85 million in FY2021 (+2.4%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2014.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 13 quarters, with growth averaging 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2025, with growth of 40.9%; the weakest was Q3 2022, with a decline of 0.6%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 64.78 million (Q1 2026), 64.7 million (Q4 2025) and 64.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 594.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 887.10 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 225.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 239.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 658.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 208.72 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 532.20 Mn |
| 10 | Pangaea Logistics Solutions | 525.10 Mn | 178.66 Mn | - | 65.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.03 Mn |
| Mar 31, 2026 | 64.78 Mn |
| Dec 31, 2025 | 64.70 Mn |
| Sep 30, 2025 | 64.82 Mn |
| Jun 30, 2025 | 64.04 Mn |
| Mar 31, 2025 | 63.85 Mn |
| Dec 31, 2024 | 46.05 Mn |
| Sep 30, 2024 | 46.01 Mn |
| Jun 30, 2024 | 46.03 Mn |
| Mar 31, 2024 | 45.91 Mn |
| Dec 31, 2023 | 45.48 Mn |
| Sep 30, 2023 | 45.08 Mn |
| Jun 30, 2023 | 45.13 Mn |
| Mar 31, 2023 | 45.12 Mn |
| Dec 31, 2022 | 45.06 Mn |
| Sep 30, 2022 | 44.64 Mn |
| Jun 30, 2022 | 45.07 Mn |
| Mar 31, 2022 | 45.19 Mn |
| Dec 31, 2021 | 44.85 Mn |
| Sep 30, 2021 | 44.93 Mn |
Pangaea Logistics Solutions Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PANL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();