Odyssey Marine Exploration (OMEX) Interest Expenses (2010 - 2026)
Odyssey Marine Exploration (OMEX) posted Interest Expenses of $214,552 for Q2 2026, down 82.8% from $1.25 million a year earlier but up 24.5% from the prior quarter.
Odyssey Marine Exploration (OMEX) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Odyssey Marine Exploration was $2.89 million, down 45.4% year-over-year; for FY2025, it came in at $4.94 million, down 24.3% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- In prior years, Odyssey Marine Exploration's Interest Expenses was $6.52 million in FY2024 (+29.3%), $5.04 million in FY2023 (+119.0%), $2.3 million in FY2022 (-78.7%) and $10.83 million in FY2021 (+56.6%).
- Quarterly Interest Expenses has run from a low of -$8.14 million in Q4 2022 to a high of $3.66 million in Q3 2022 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last eight quarters, with an average decline of 35.3% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2024, with growth of 157.6%; the weakest was Q1 2026, with a decline of 85.4%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $172,269 (Q1 2026), $1.15 million (Q4 2025) and $1.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 73.55 Mn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 90.60 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 54.65 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 3.09 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 1.01 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 36.94 Mn |
| 10 | Odyssey Marine Exploration | 39.91 Mn | 1.73 Mn | - | 214,552.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 214,552.00 |
| Mar 31, 2026 | 172,269.00 |
| Dec 31, 2025 | 1.15 Mn |
| Sep 30, 2025 | 1.35 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.18 Mn |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 1.67 Mn |
| Jun 30, 2024 | 1.83 Mn |
| Mar 31, 2024 | 1.82 Mn |
| Dec 31, 2023 | 1.42 Mn |
| Sep 30, 2023 | 1.84 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 706,522.00 |
| Dec 31, 2022 | -8.14 Mn |
| Sep 30, 2022 | 3.66 Mn |
| Jun 30, 2022 | 3.55 Mn |
| Mar 31, 2022 | 3.23 Mn |
| Dec 31, 2021 | 2.95 Mn |
| Sep 30, 2021 | 2.87 Mn |
Odyssey Marine Exploration Interest 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=interest-expenses&ticker=OMEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=OMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();