Northern Oil & Gas (NOG) Shares Outstanding (2009 - 2026)
Northern Oil & Gas' Weighted Average Shares Outstanding came in at 105.94 million for Q3 2026, up 9.1% from 97.12 million a year earlier and up 0.1% from the prior quarter.
Northern Oil & Gas (NOG) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Northern Oil & Gas' Weighted Average Shares Outstanding was 97.71 million, down 2.1% from FY2024.
- Weighted Average Shares Outstanding carries a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 99.85 million in FY2024 (+9.1%), 91.48 million in FY2023 (+16.5%), 78.56 million in FY2022 (+24.7%) and 62.99 million in FY2021 (+47.4%).
- The Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Year-over-year, Weighted Average Shares Outstanding increased in three of the last eight quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q4 2021 (growth of 47.4%), and the weakest in Q3 2025 (a decline of 2.4%).
- Business Quant data shows NOG's Weighted Average Shares Outstanding at 105.87 million (Q2 2026), 98.5 million (Q1 2026) and 97.71 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 4.14 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 5.89 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 1.96 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 2.19 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 3.02 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 1.20 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 2.59 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 2.09 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 397.01 Mn |
| 10 | Northern Oil & Gas | 2.66 Bn | 2.53 Bn | 202.42 Mn | 105.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 105.94 Mn |
| Jun 30, 2026 | 105.87 Mn |
| Mar 31, 2026 | 98.50 Mn |
| Dec 31, 2025 | 97.71 Mn |
| Sep 30, 2025 | 97.12 Mn |
| Jun 30, 2025 | 98.06 Mn |
| Mar 31, 2025 | 98.56 Mn |
| Dec 31, 2024 | 99.85 Mn |
| Sep 30, 2024 | 99.49 Mn |
| Jun 30, 2024 | 100.27 Mn |
| Mar 31, 2024 | 100.44 Mn |
| Dec 31, 2023 | 91.48 Mn |
| Sep 30, 2023 | 92.77 Mn |
| Jun 30, 2023 | 88.80 Mn |
| Mar 31, 2023 | 84.92 Mn |
| Dec 31, 2022 | 78.56 Mn |
| Sep 30, 2022 | 78.59 Mn |
| Jun 30, 2022 | 77.37 Mn |
| Mar 31, 2022 | 76.92 Mn |
| Dec 31, 2021 | 62.99 Mn |
Northern Oil & Gas 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=NOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "NOG", "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=NOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();