Genco Shipping & Trading (GNK) Shares Outstanding (2009 - 2026)
Genco Shipping & Trading (GNK) recorded Weighted Average Shares Outstanding of 43.92 million in Q3 2026, up 1.2% from 43.41 million a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Genco Shipping & Trading (GNK) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Genco Shipping & Trading reported Weighted Average Shares Outstanding of 43.37 million, up 0.7% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for 16 straight years, with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 43.05 million in FY2024 (+0.7%), 42.77 million in FY2023 (+0.8%), 42.41 million in FY2022 (+0.8%) and 42.06 million in FY2021 (+0.4%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 44 consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- Per Business Quant, the preceding three quarters came in at 43.87 million (Q2 2026), 43.71 million (Q1 2026) and 43.37 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 593.70 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 851.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 886.40 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 237.00 Mn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 224.60 Mn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 655.00 Mn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 324.90 Mn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 207.09 Mn |
| 10 | Genco Shipping & Trading | 1.14 Bn | 865.23 Mn | 104.60 Mn | 43.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.92 Mn |
| Jun 30, 2026 | 43.87 Mn |
| Mar 31, 2026 | 43.71 Mn |
| Dec 31, 2025 | 43.37 Mn |
| Sep 30, 2025 | 43.41 Mn |
| Jun 30, 2025 | 43.35 Mn |
| Mar 31, 2025 | 43.20 Mn |
| Dec 31, 2024 | 43.05 Mn |
| Sep 30, 2024 | 43.11 Mn |
| Jun 30, 2024 | 43.07 Mn |
| Mar 31, 2024 | 42.92 Mn |
| Dec 31, 2023 | 42.77 Mn |
| Sep 30, 2023 | 42.82 Mn |
| Jun 30, 2023 | 42.79 Mn |
| Mar 31, 2023 | 42.63 Mn |
| Dec 31, 2022 | 42.41 Mn |
| Sep 30, 2022 | 42.53 Mn |
| Jun 30, 2022 | 42.39 Mn |
| Mar 31, 2022 | 42.17 Mn |
| Dec 31, 2021 | 42.06 Mn |
API Access
Genco Shipping & Trading 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=GNK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "GNK", "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=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();