Magnolia Oil & Gas (MGY) Consolidated Net Income (2017 - 2026)
Magnolia Oil & Gas (MGY) recorded Consolidated Net Income of $181.78 million in Q2 2026, up 124.3% from $81.03 million a year earlier and up 80.3% from the prior quarter.
Magnolia Oil & Gas (MGY) Consolidated Net Income (2017 - 2026) Analysis & Trends
On a TTM basis, Magnolia Oil & Gas' Consolidated Net Income came in at $432.22 million as of Jun 30, 2026, up 13.1% year-over-year; for FY2025, it was $337.28 million, down 15.1% from FY2024.
- Annual Consolidated Net Income has declined for three straight years.
- Across earlier years, Consolidated Net Income came in at $397.33 million in FY2024 (-10.2%), $442.6 million in FY2023 (-57.9%), $1.05 billion in FY2022 (+87.6%) and $559.72 million in FY2021.
- The Q2 2026 figure is the highest quarterly Consolidated Net Income since Q4 2022.
- On a year-over-year basis, Consolidated Net Income rose in two of the last eight quarters, with growth averaging 3.5%.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 357.4% in Q4 2021, against a decline of 65.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $100.84 million (Q1 2026), $71.37 million (Q4 2025) and $78.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | 14.88 Bn |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | 10.81 Bn |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | 12.21 Bn |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | 5.48 Bn |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | 3.35 Bn |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | 3.93 Bn |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | 4.84 Bn |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | 3.88 Bn |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | 3.48 Bn |
| 10 | Magnolia Oil & Gas | 4.44 Bn | 3.48 Bn | 461.61 Mn | 181.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 181.78 Mn |
| Mar 31, 2026 | 100.84 Mn |
| Dec 31, 2025 | 71.37 Mn |
| Sep 30, 2025 | 78.23 Mn |
| Jun 30, 2025 | 81.03 Mn |
| Mar 31, 2025 | 106.65 Mn |
| Dec 31, 2024 | 88.71 Mn |
| Sep 30, 2024 | 105.91 Mn |
| Jun 30, 2024 | 105.11 Mn |
| Mar 31, 2024 | 97.60 Mn |
| Dec 31, 2023 | 113.86 Mn |
| Sep 30, 2023 | 117.48 Mn |
| Jun 30, 2023 | 104.60 Mn |
| Mar 31, 2023 | 106.68 Mn |
| Dec 31, 2022 | 254.76 Mn |
| Sep 30, 2022 | 286.96 Mn |
| Jun 30, 2022 | 299.91 Mn |
| Mar 31, 2022 | 208.62 Mn |
| Dec 31, 2021 | 192.15 Mn |
| Sep 30, 2021 | 159.91 Mn |
Magnolia Oil & Gas Consolidated Net Income 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=consolidated-net-income&ticker=MGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=MGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();