Pangaea Logistics Solutions (PANL) Shares Outstanding (2013 - 2026)
Pangaea Logistics Solutions' Shares Outstanding was 64.4 million in Q2 2026, up 0.6% from 64.04 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Pangaea Logistics Solutions (PANL) Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Pangaea Logistics Solutions came in at 63.8 million, up 40.6% from FY2024.
- Shares Outstanding has now increased for 12 consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 45.39 million in FY2024 (+1.4%), 44.77 million in FY2023 (+0.8%), 44.4 million in FY2022 (+0.9%) and 44 million in FY2021 (+1.3%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q4 2013.
- Compared with a year earlier, Shares Outstanding has increased for 39 straight quarters, with growth averaging 20.9% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.5% (Q1 2026) and 41.4% (Q2 2025) over the last five years.
- Per Business Quant data, PANL's Shares Outstanding in the three quarters before Q2 2026 was 64.19 million (Q1 2026), 63.8 million (Q4 2025) and 63.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 593.40 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 1.86 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 886.40 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 851.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 224.60 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 237.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 654.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 207.66 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 527.75 Mn |
| 10 | Pangaea Logistics Solutions | 525.10 Mn | 178.66 Mn | - | 64.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.40 Mn |
| Mar 31, 2026 | 64.19 Mn |
| Dec 31, 2025 | 63.80 Mn |
| Sep 30, 2025 | 63.73 Mn |
| Jun 30, 2025 | 64.04 Mn |
| Mar 31, 2025 | 63.85 Mn |
| Dec 31, 2024 | 45.39 Mn |
| Sep 30, 2024 | 45.28 Mn |
| Jun 30, 2024 | 45.28 Mn |
| Mar 31, 2024 | 45.21 Mn |
| Dec 31, 2023 | 44.77 Mn |
| Sep 30, 2023 | 44.78 Mn |
| Jun 30, 2023 | 44.78 Mn |
| Mar 31, 2023 | 44.71 Mn |
| Dec 31, 2022 | 44.40 Mn |
| Sep 30, 2022 | 44.42 Mn |
| Jun 30, 2022 | 44.43 Mn |
| Mar 31, 2022 | 44.39 Mn |
| Dec 31, 2021 | 44.00 Mn |
| Sep 30, 2021 | 44.00 Mn |
API Access
Pangaea Logistics Solutions Shares Outstanding 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&ticker=PANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=PANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();