Magnolia Oil & Gas (MGY) Operating Expenses (2017 - 2026)
Magnolia Oil & Gas (MGY) recorded Operating Expenses of $239.31 million in Q2 2026, up 13.3% from $211.17 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Magnolia Oil & Gas (MGY) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Magnolia Oil & Gas' Operating Expenses came in at $917.08 million as of Jun 30, 2026, up 10.2% year-over-year; for FY2025, it was $872.66 million, up 8.6% from FY2024.
- Annual Operating Expenses has increased for four straight years, though with a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $803.9 million in FY2024 (+16.1%), $692.49 million in FY2023 (+11.6%), $620.71 million in FY2022 (+30.5%) and $475.76 million in FY2021 (-80.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2020.
- On a year-over-year basis, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 50.8% in Q3 2022, against a decline of 2.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $230.75 million (Q1 2026), $223.55 million (Q4 2025) and $223.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 541.34 Bn | 451.89 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 403.85 Bn | 381.64 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 193.34 Bn | 76.47 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 172.00 Bn | 121.52 Bn | - | - |
| 5 | Conocophillips | 150.68 Bn | 123.39 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 103.39 Bn | 49.45 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 100.64 Bn | 89.62 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 98.19 Bn | 95.14 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 80.57 Bn | 66.37 Bn | - | 17.00 Mn |
| 10 | Magnolia Oil & Gas | 4.36 Bn | 3.39 Bn | 461.61 Mn | 239.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 239.31 Mn |
| Mar 31, 2026 | 230.75 Mn |
| Dec 31, 2025 | 223.55 Mn |
| Sep 30, 2025 | 223.47 Mn |
| Jun 30, 2025 | 211.17 Mn |
| Mar 31, 2025 | 214.48 Mn |
| Dec 31, 2024 | 202.54 Mn |
| Sep 30, 2024 | 204.12 Mn |
| Jun 30, 2024 | 202.37 Mn |
| Mar 31, 2024 | 194.86 Mn |
| Dec 31, 2023 | 184.54 Mn |
| Sep 30, 2023 | 167.55 Mn |
| Jun 30, 2023 | 158.96 Mn |
| Mar 31, 2023 | 181.45 Mn |
| Dec 31, 2022 | 151.14 Mn |
| Sep 30, 2022 | 171.21 Mn |
| Jun 30, 2022 | 156.39 Mn |
| Mar 31, 2022 | 141.97 Mn |
| Dec 31, 2021 | 130.14 Mn |
| Sep 30, 2021 | 113.55 Mn |
API Access
Magnolia Oil & Gas Operating Expenses 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=operating-expenses&ticker=MGY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();