Costamare (CMRE) Return on Sales [ROS] (2009 - 2026)
Costamare's Return on Sales [ROS] was 46.73% in Q2 2026, down 5.87 percentage points from 52.60% a year earlier but up 0.63 percentage points from the prior quarter.
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Analysis
Costamare (CMRE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Costamare's Return on Sales [ROS] was 48.24% through Jun 30, 2026, down 6.26 percentage points year-over-year; for FY2025, it came in at 51.96%, down 3.15 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +38.86 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 55.12% in FY2024 (-15.02 pp), 70.14% in FY2023 (+10.68 pp), 59.46% in FY2022 (+3.84 pp) and 55.61% in FY2021 (+42.51 pp).
- Quarterly Return on Sales [ROS] has moved between 20.98% (Q3 2023) and 81.99% (Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for five straight quarters, with an average year-over-year change of +9.28 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2024 (a gain of 35.74 percentage points); the worst was Q4 2023 (a drop of 60.49 percentage points).
- Per Business Quant data, CMRE's Return on Sales [ROS] in the three quarters before Q2 2026 was 46.10% (Q1 2026), 47.52% (Q4 2025) and 52.30% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Costamare | 1.86 Bn | -78.01 Mn | 193.75 Mn | 46.73% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.73% |
| Mar 31, 2026 | 46.10% |
| Dec 31, 2025 | 47.52% |
| Sep 30, 2025 | 52.30% |
| Jun 30, 2025 | 52.60% |
| Mar 31, 2025 | 55.22% |
| Dec 31, 2024 | 53.35% |
| Sep 30, 2024 | 56.73% |
| Jun 30, 2024 | 54.16% |
| Mar 31, 2024 | 21.75% |
| Dec 31, 2023 | 21.50% |
| Sep 30, 2023 | 20.98% |
| Jun 30, 2023 | 33.36% |
| Mar 31, 2023 | 62.32% |
| Dec 31, 2022 | 81.99% |
| Sep 30, 2022 | 50.45% |
| Jun 30, 2022 | 51.98% |
| Mar 31, 2011 | 36.97% |
| Dec 31, 2010 | 28.96% |
| Sep 30, 2010 | 47.35% |
API Access
Costamare 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=CMRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CMRE", "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=CMRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();