Genco Shipping & Trading (GNK) Shares Outstanding (Diluted) (2009 - 2026)
Genco Shipping & Trading (GNK) reported Shares Outstanding (Diluted) of 44.57 million for Q2 2026, up 2.8% from 43.35 million a year earlier and up 0.4% from the prior quarter.
Genco Shipping & Trading (GNK) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Genco Shipping & Trading posted Shares Outstanding (Diluted) of 43.37 million, down 0.6% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 43.65 million in FY2024 (+2.1%), 42.77 million in FY2023 (-0.3%), 42.92 million in FY2022 (+0.8%) and 42.59 million in FY2021 (+1.6%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- Year over year, Shares Outstanding (Diluted) gained in four of the last eight quarters, with growth averaging 0.9%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2026 (growth of 2.8%); the low point was Q1 2025 (a decline of 0.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 44.41 million (Q1 2026), 43.37 million (Q4 2025) and 43.41 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 | Genco Shipping & Trading | 1.14 Bn | 1.14 Bn | 92.30 Mn | 44.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.57 Mn |
| Mar 31, 2026 | 44.41 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 | 43.65 Mn |
| Sep 30, 2024 | 43.66 Mn |
| Jun 30, 2024 | 43.66 Mn |
| Mar 31, 2024 | 43.61 Mn |
| Dec 31, 2023 | 42.77 Mn |
| Sep 30, 2023 | 42.82 Mn |
| Jun 30, 2023 | 43.13 Mn |
| Mar 31, 2023 | 43.10 Mn |
| Dec 31, 2022 | 42.92 Mn |
| Sep 30, 2022 | 42.88 Mn |
| Jun 30, 2022 | 43.00 Mn |
| Mar 31, 2022 | 42.87 Mn |
| Dec 31, 2021 | 42.59 Mn |
| Sep 30, 2021 | 42.75 Mn |
Genco Shipping & Trading 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=GNK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();