Magnolia Oil & Gas (MGY) Other Operating Expenses (2017 - 2026)
Magnolia Oil & Gas' Other Operating Expenses was $158.34 million in Q2 2026, up 10.0% from $143.94 million a year earlier and up 5.7% from the prior quarter.
Magnolia Oil & Gas (MGY) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Magnolia Oil & Gas' Other Operating Expenses was $609.85 million through Jun 30, 2026, up 9.0% year-over-year; for FY2025, it came in at $588.11 million, up 10.4% from FY2024.
- Other Operating Expenses has now increased for four consecutive years, though with a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $532.91 million in FY2024 (+17.3%), $454.46 million in FY2023 (+12.2%), $405.18 million in FY2022 (+33.6%) and $303.33 million in FY2021 (-82.7%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q1 2020.
- Compared with a year earlier, Other Operating Expenses has increased for 11 straight quarters, with growth averaging 11.8% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2022 (growth of 54.4%); the worst was Q3 2023 (a decline of 7.4%).
- Per Business Quant data, MGY's Other Operating Expenses in the three quarters before Q2 2026 was $149.81 million (Q1 2026), $151.12 million (Q4 2025) and $150.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - |
| 10 | Magnolia Oil & Gas | 4.34 Bn | 3.37 Bn | 461.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.34 Mn |
| Mar 31, 2026 | 149.81 Mn |
| Dec 31, 2025 | 151.12 Mn |
| Sep 30, 2025 | 150.58 Mn |
| Jun 30, 2025 | 143.94 Mn |
| Mar 31, 2025 | 142.47 Mn |
| Dec 31, 2024 | 134.96 Mn |
| Sep 30, 2024 | 138.03 Mn |
| Jun 30, 2024 | 134.79 Mn |
| Mar 31, 2024 | 125.13 Mn |
| Dec 31, 2023 | 124.56 Mn |
| Sep 30, 2023 | 107.15 Mn |
| Jun 30, 2023 | 103.44 Mn |
| Mar 31, 2023 | 119.30 Mn |
| Dec 31, 2022 | 97.01 Mn |
| Sep 30, 2022 | 115.71 Mn |
| Jun 30, 2022 | 101.85 Mn |
| Mar 31, 2022 | 90.62 Mn |
| Dec 31, 2021 | 84.93 Mn |
| Sep 30, 2021 | 74.94 Mn |
Magnolia Oil & Gas Other 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=other-operating-expenses&ticker=MGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();