Magnolia Oil & Gas (MGY) Other Accumulated Expenses (2017 - 2026)
Magnolia Oil & Gas' Other Accumulated Expenses came in at $238.95 million for Q3 2026, up 73.5% from $137.73 million a year earlier and up 76.4% from the prior quarter.
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Analysis
Magnolia Oil & Gas (MGY) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Magnolia Oil & Gas' Other Accumulated Expenses was $110.46 million, up 1.2% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $109.19 million in FY2024 (-10.3%), $121.68 million in FY2023 (-11.5%), $137.43 million in FY2022 (+51.6%) and $90.64 million in FY2021 (+36.7%).
- The Q3 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2017.
- Year-over-year, Other Accumulated Expenses has increased for five consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q1 2022 (growth of 100.9%), and the weakest in Q2 2023 (a decline of 33.8%).
- Business Quant data shows MGY's Other Accumulated Expenses at $135.49 million (Q2 2026), $134.03 million (Q1 2026) and $110.46 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | Magnolia Oil & Gas | 6.54 Bn | 5.83 Bn | 494.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 238.95 Mn |
| Jun 30, 2026 | 135.49 Mn |
| Mar 31, 2026 | 134.03 Mn |
| Dec 31, 2025 | 110.46 Mn |
| Sep 30, 2025 | 137.73 Mn |
| Jun 30, 2025 | 123.07 Mn |
| Mar 31, 2025 | 132.72 Mn |
| Dec 31, 2024 | 109.19 Mn |
| Sep 30, 2024 | 117.23 Mn |
| Jun 30, 2024 | 128.03 Mn |
| Mar 31, 2024 | 130.41 Mn |
| Dec 31, 2023 | 121.68 Mn |
| Sep 30, 2023 | 120.36 Mn |
| Jun 30, 2023 | 96.77 Mn |
| Mar 31, 2023 | 120.44 Mn |
| Dec 31, 2022 | 137.43 Mn |
| Sep 30, 2022 | 127.36 Mn |
| Jun 30, 2022 | 146.18 Mn |
| Mar 31, 2022 | 104.08 Mn |
| Dec 31, 2021 | 90.64 Mn |
API Access
Magnolia Oil & Gas Other Accumulated 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-accumulated-expenses&ticker=MGY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=MGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();