Odyssey Marine Exploration (OMEX) Return on Sales [ROS] (2010 - 2026)
Odyssey Marine Exploration (OMEX) posted Return on Sales [ROS] of -9875.29% for Q2 2026, down 6634.32 percentage points from -3240.97% a year earlier but up 18616.24 percentage points from the prior quarter.
Odyssey Marine Exploration (OMEX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Odyssey Marine Exploration was -11369.99%, down 9616.46 percentage points year-over-year; for FY2025, it was -3797.12%, down 2235.36 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -3177.24 percentage points (FY2020 to FY2025).
- In prior years, Odyssey Marine Exploration's Return on Sales [ROS] was -1561.76% in FY2024 (-275.68 pp), -1286.09% in FY2023 (+51.53 pp), -1337.62% in FY2022 (+285.33 pp) and -1622.94% in FY2021 (-1003.06 pp).
- Quarterly Return on Sales [ROS] has run from a low of -28491.53% in Q1 2026 to a high of -802.36% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last five quarters, with an average year-over-year change of -7008.94 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2022, with a gain of 1910.59 percentage points; the weakest was Q1 2026, with a drop of 26842.90 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -28491.53% (Q1 2026), -20662.53% (Q4 2025) and -3494.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | 10.62% |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 5.17% |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | 18.77% |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | 14.37% |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | 12.58% |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | -2.12% |
| 10 | Odyssey Marine Exploration | 32.50 Mn | 18.71 Mn | - | -9,875.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9,875.29% |
| Mar 31, 2026 | -28,491.53% |
| Dec 31, 2025 | -20,662.53% |
| Sep 30, 2025 | -3,494.40% |
| Jun 30, 2025 | -3,240.97% |
| Mar 31, 2025 | -1,648.63% |
| Dec 31, 2024 | -1,030.97% |
| Sep 30, 2024 | -1,340.88% |
| Jun 30, 2024 | -1,399.11% |
| Mar 31, 2024 | -2,322.98% |
| Dec 31, 2023 | -1,334.04% |
| Sep 30, 2023 | -1,396.11% |
| Jun 30, 2023 | -1,650.06% |
| Mar 31, 2023 | -973.86% |
| Dec 31, 2022 | -1,510.55% |
| Sep 30, 2022 | -1,037.92% |
| Jun 30, 2022 | -802.36% |
| Mar 31, 2022 | -2,228.07% |
| Dec 31, 2021 | -1,613.25% |
| Sep 30, 2021 | -1,609.33% |
Odyssey Marine Exploration Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OMEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();