Magnolia Oil & Gas (MGY) Total Liabilities (2017 - 2026)
Magnolia Oil & Gas (MGY) posted Total Liabilities of $993.71 million for Q2 2026, up 15.2% from $862.3 million a year earlier and up 9.4% from the prior quarter.
Magnolia Oil & Gas (MGY) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Magnolia Oil & Gas' Total Liabilities came in at $903.92 million, up 5.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Magnolia Oil & Gas' Total Liabilities was $853.51 million in FY2024 (-2.3%), $873.55 million in FY2023 (+4.9%), $832.39 million in FY2022 (+18.7%) and $701.49 million in FY2021 (+14.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2017.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 3.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 24.8%; the weakest was Q2 2023, with a decline of 7.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $908.6 million (Q1 2026), $903.92 million (Q4 2025) and $917.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 198.73 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 134.58 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 313.76 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | 104.70 Bn |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 58.91 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -41.76 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 49.11 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | - |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 46.59 Bn |
| 10 | Magnolia Oil & Gas | 4.37 Bn | 3.41 Bn | 461.61 Mn | 993.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 993.71 Mn |
| Mar 31, 2026 | 908.60 Mn |
| Dec 31, 2025 | 903.92 Mn |
| Sep 30, 2025 | 917.17 Mn |
| Jun 30, 2025 | 862.30 Mn |
| Mar 31, 2025 | 879.29 Mn |
| Dec 31, 2024 | 853.51 Mn |
| Sep 30, 2024 | 850.39 Mn |
| Jun 30, 2024 | 924.51 Mn |
| Mar 31, 2024 | 910.16 Mn |
| Dec 31, 2023 | 873.55 Mn |
| Sep 30, 2023 | 805.34 Mn |
| Jun 30, 2023 | 756.86 Mn |
| Mar 31, 2023 | 808.98 Mn |
| Dec 31, 2022 | 832.39 Mn |
| Sep 30, 2022 | 830.93 Mn |
| Jun 30, 2022 | 818.23 Mn |
| Mar 31, 2022 | 722.25 Mn |
| Dec 31, 2021 | 701.49 Mn |
| Sep 30, 2021 | 680.26 Mn |
Magnolia Oil & Gas Total Liabilities 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=total-liabilities&ticker=MGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();