Magnolia Oil & Gas (MGY) Shares Outstanding (2017 - 2026)
Magnolia Oil & Gas' Weighted Average Shares Outstanding was 230.63 million in Q3 2026, up 24.8% from 184.74 million a year earlier and up 25.0% from the prior quarter.
Magnolia Oil & Gas (MGY) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Magnolia Oil & Gas came in at 185.58 million, down 0.5% from FY2024.
- Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 186.47 million in FY2024 (-0.9%), 188.17 million in FY2023 (+0.4%), 187.43 million in FY2022 (+7.5%) and 174.36 million in FY2021 (+4.9%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2017.
- Compared with a year earlier, Weighted Average Shares Outstanding was higher in three of the last eight quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q3 2026 (growth of 24.8%); the worst was Q1 2024 (a decline of 4.9%).
- Per Business Quant data, MGY's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 184.57 million (Q2 2026), 183.27 million (Q1 2026) and 185.58 million (Q4 2025).
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 | Magnolia Oil & Gas | 6.54 Bn | 5.83 Bn | 494.29 Mn | 230.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 230.63 Mn |
| Jun 30, 2026 | 184.57 Mn |
| Mar 31, 2026 | 183.27 Mn |
| Dec 31, 2025 | 185.58 Mn |
| Sep 30, 2025 | 184.74 Mn |
| Jun 30, 2025 | 186.52 Mn |
| Mar 31, 2025 | 188.65 Mn |
| Dec 31, 2024 | 186.47 Mn |
| Sep 30, 2024 | 187.86 Mn |
| Jun 30, 2024 | 184.94 Mn |
| Mar 31, 2024 | 182.37 Mn |
| Dec 31, 2023 | 188.17 Mn |
| Sep 30, 2023 | 187.09 Mn |
| Jun 30, 2023 | 189.40 Mn |
| Mar 31, 2023 | 191.78 Mn |
| Dec 31, 2022 | 187.43 Mn |
| Sep 30, 2022 | 188.64 Mn |
| Jun 30, 2022 | 188.15 Mn |
| Mar 31, 2022 | 182.58 Mn |
| Dec 31, 2021 | 174.36 Mn |
Magnolia 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=MGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "MGY", "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=MGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();