Nordic American Tankers (NAT) Shares Outstanding (Diluted) (2009 - 2026)
Nordic American Tankers' Shares Outstanding (Diluted) came in at 211.75 million for Q2 2026, up 0.9% from 209.9 million a year earlier and unchanged from the prior quarter.
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Analysis
Nordic American Tankers (NAT) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Going back to Q1 2009, Nordic American Tankers' Shares Outstanding (Diluted) data covers 68 quarters.
- Shares Outstanding (Diluted) has increased in each of the last 11 years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 209.9 million in FY2024 (+0.5%), 208.81 million in FY2023 (+3.4%), 202.03 million in FY2022 (+24.3%) and 162.55 million in FY2021 (+8.9%).
- Year-over-year, Shares Outstanding (Diluted) has increased for 41 consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.5% in Q4 2024 to 24.3% in Q3 2023.
- Business Quant data shows NAT's Shares Outstanding (Diluted) at 211.75 million (Q1 2026), 211.75 million (Q4 2025) and 209.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Nordic American Tankers | 1.67 Bn | 1.34 Bn | - | 211.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.75 Mn |
| Mar 31, 2026 | 211.75 Mn |
| Dec 31, 2025 | 211.75 Mn |
| Sep 30, 2025 | 209.90 Mn |
| Jun 30, 2025 | 209.90 Mn |
| Mar 31, 2025 | 209.90 Mn |
| Dec 31, 2024 | 209.90 Mn |
| Sep 30, 2024 | 208.81 Mn |
| Jun 30, 2024 | 208.81 Mn |
| Mar 31, 2024 | 208.81 Mn |
| Dec 31, 2023 | 208.81 Mn |
| Sep 30, 2023 | 202.03 Mn |
| Jun 30, 2023 | 202.03 Mn |
| Mar 31, 2023 | 202.03 Mn |
| Dec 31, 2022 | 202.03 Mn |
| Sep 30, 2022 | 162.55 Mn |
| Jun 30, 2022 | 162.55 Mn |
| Mar 31, 2022 | 162.55 Mn |
| Dec 31, 2021 | 162.55 Mn |
| Sep 30, 2021 | 149.29 Mn |
API Access
Nordic American Tankers 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=NAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NAT", "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=NAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();