Royale Energy (ROYL) Total Liabilities (2017 - 2026)
Royale Energy (ROYL) posted Total Liabilities of $35.32 million for Q2 2026, up 26.7% from $27.87 million a year earlier and up 13.7% from the prior quarter.
Royale Energy (ROYL) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Royale Energy's Total Liabilities came in at $30.39 million, up 9.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, Royale Energy's Total Liabilities was $27.78 million in FY2024 (-42.6%), $48.36 million in FY2023 (+7.7%), $44.92 million in FY2022 (+3.6%) and $43.36 million in FY2021 (+17.9%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with an average decline of 14.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 26.7%; the weakest was Q1 2025, with a decline of 46.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $31.05 million (Q1 2026), $30.39 million (Q4 2025) and $29.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 198.40 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 222.14 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 133.81 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 204.96 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 109.37 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 60.08 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | -43.46 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 | 50.45 Bn |
| 10 | Royale Energy | 5.80 Mn | -350,261.01 | 201.00 | 34.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.70 Mn |
| Jun 30, 2026 | 35.32 Mn |
| Mar 31, 2026 | 31.05 Mn |
| Dec 31, 2025 | 30.39 Mn |
| Sep 30, 2025 | 29.37 Mn |
| Jun 30, 2025 | 27.87 Mn |
| Mar 31, 2025 | 27.92 Mn |
| Dec 31, 2024 | 27.78 Mn |
| Sep 30, 2024 | 53.20 Mn |
| Jun 30, 2024 | 50.67 Mn |
| Mar 31, 2024 | 51.84 Mn |
| Dec 31, 2023 | 48.36 Mn |
| Sep 30, 2023 | 47.65 Mn |
| Jun 30, 2023 | 45.23 Mn |
| Mar 31, 2023 | 44.09 Mn |
| Dec 31, 2022 | 44.92 Mn |
| Sep 30, 2022 | 46.47 Mn |
| Jun 30, 2022 | 44.50 Mn |
| Mar 31, 2022 | 44.51 Mn |
| Dec 31, 2021 | 43.36 Mn |
Royale Energy 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=ROYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ROYL", "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=ROYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();