Odyssey Marine Exploration (OMEX) Total Liabilities (2010 - 2026)
Odyssey Marine Exploration's Total Liabilities was $93.16 million in Q2 2026, down 12.8% from $106.87 million a year earlier but up 10.6% from the prior quarter.
Odyssey Marine Exploration (OMEX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Odyssey Marine Exploration came in at $91.38 million, down 6.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $97.58 million in FY2024 (-10.2%), $108.66 million in FY2023 (+6.0%), $102.55 million in FY2022 (+35.1%) and $75.9 million in FY2021 (+8.9%).
- Quarterly Total Liabilities has moved between $75.9 million (Q4 2021) and $120.22 million (Q2 2024) over five years.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 7.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2024 (growth of 45.0%); the worst was Q1 2025 (a decline of 14.7%).
- Per Business Quant data, OMEX's Total Liabilities in the three quarters before Q2 2026 was $84.25 million (Q1 2026), $91.38 million (Q4 2025) and $101.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 18.55 Bn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | 23.00 Bn |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | 6.08 Bn |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 7.33 Bn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 8.48 Bn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 1.80 Bn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | 1.05 Bn |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | 4.12 Bn |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | 3.47 Bn |
| 10 | Odyssey Marine Exploration | 40.50 Mn | 2.31 Mn | - | 93.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.16 Mn |
| Mar 31, 2026 | 84.25 Mn |
| Dec 31, 2025 | 91.38 Mn |
| Sep 30, 2025 | 101.04 Mn |
| Jun 30, 2025 | 106.87 Mn |
| Mar 31, 2025 | 95.27 Mn |
| Dec 31, 2024 | 97.58 Mn |
| Sep 30, 2024 | 98.52 Mn |
| Jun 30, 2024 | 120.22 Mn |
| Mar 31, 2024 | 111.69 Mn |
| Dec 31, 2023 | 108.66 Mn |
| Sep 30, 2023 | 94.57 Mn |
| Jun 30, 2023 | 84.65 Mn |
| Mar 31, 2023 | 77.04 Mn |
| Dec 31, 2022 | 102.55 Mn |
| Sep 30, 2022 | 84.14 Mn |
| Jun 30, 2022 | 81.67 Mn |
| Mar 31, 2022 | 81.45 Mn |
| Dec 31, 2021 | 75.90 Mn |
| Sep 30, 2021 | 77.35 Mn |
Odyssey Marine Exploration 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=OMEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OMEX", "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=OMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();