United Maritime (USEA) Return on Sales [ROS] (2022 - 2026)
United Maritime (USEA) recorded Return on Sales [ROS] of 25.60% in Q2 2026, up 10.42 percentage points from 15.18% a year earlier and up 13.44 percentage points from the prior quarter.
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Analysis
United Maritime (USEA) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, United Maritime's Return on Sales [ROS] came in at 10.30% as of Jun 30, 2026, up 8.01 percentage points year-over-year; for FY2025, it came in at -1.20%, down 11.81 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight years, with a five-year change of -8.14 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 10.60% in FY2024 (-9.02 pp), 19.63% in FY2023 (-158.14 pp), 177.77% in FY2022 (+140.32 pp) and 37.44% in FY2021 (+30.50 pp).
- Quarterly Return on Sales [ROS] has ranged from -137.04% in Q1 2023 to 311.97% in Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -13.76 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 143.23 percentage points in Q1 2024, against a drop of 299.61 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.16% (Q1 2026), -42.43% (Q4 2025) and 26.71% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 40.25% |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 4.07% |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 32.44% |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 6.20% |
| 10 | United Maritime | 24.44 Mn | 25.24 Mn | 9.81 Mn | 25.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.60% |
| Mar 31, 2026 | 12.16% |
| Dec 31, 2025 | -42.43% |
| Sep 30, 2025 | 26.71% |
| Jun 30, 2025 | 15.18% |
| Mar 31, 2025 | -31.98% |
| Dec 31, 2024 | 0.12% |
| Sep 30, 2024 | 13.39% |
| Jun 30, 2024 | 20.90% |
| Mar 31, 2024 | 6.19% |
| Dec 31, 2023 | 12.35% |
| Sep 30, 2023 | 92.67% |
| Jun 30, 2023 | -13.07% |
| Mar 31, 2023 | -137.04% |
| Dec 31, 2022 | 311.97% |
| Sep 30, 2022 | 25.10% |
API Access
United Maritime 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=USEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "USEA", "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=USEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();