Odyssey Marine Exploration (OMEX) Operating Expenses (2010 - 2026)
Odyssey Marine Exploration (OMEX) posted Operating Expenses of $7.77 million for Q2 2026, up 72.2% from $4.51 million a year earlier and up 20.7% from the prior quarter.
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Analysis
Odyssey Marine Exploration (OMEX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Odyssey Marine Exploration was $21.11 million, up 83.7% year-over-year; for FY2025, it came in at $13.78 million, up 7.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior years, Odyssey Marine Exploration's Operating Expenses was $12.77 million in FY2024 (+14.7%), $11.14 million in FY2023 (-41.9%), $19.19 million in FY2022 (+20.9%) and $15.87 million in FY2021 (+8.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2015.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 49.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 215.0%; the weakest was Q1 2023, with a decline of 55.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $6.43 million (Q1 2026), $4.72 million (Q4 2025) and $2.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Odyssey Marine Exploration | 33.69 Mn | 19.90 Mn | - | 7.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.77 Mn |
| Mar 31, 2026 | 6.43 Mn |
| Dec 31, 2025 | 4.72 Mn |
| Sep 30, 2025 | 2.19 Mn |
| Jun 30, 2025 | 4.51 Mn |
| Mar 31, 2025 | 2.36 Mn |
| Dec 31, 2024 | 1.54 Mn |
| Sep 30, 2024 | 3.08 Mn |
| Jun 30, 2024 | 3.23 Mn |
| Mar 31, 2024 | 4.92 Mn |
| Dec 31, 2023 | 2.39 Mn |
| Sep 30, 2023 | 2.63 Mn |
| Jun 30, 2023 | 3.02 Mn |
| Mar 31, 2023 | 3.10 Mn |
| Dec 31, 2022 | 4.61 Mn |
| Sep 30, 2022 | 4.08 Mn |
| Jun 30, 2022 | 3.52 Mn |
| Mar 31, 2022 | 6.98 Mn |
| Dec 31, 2021 | 4.29 Mn |
| Sep 30, 2021 | 3.37 Mn |
API Access
Odyssey Marine Exploration Operating 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=operating-expenses&ticker=OMEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=OMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();