Castor Maritime (CTRM) Return on Sales [ROS] (2017 - 2026)
Castor Maritime's Return on Sales [ROS] was 96.08% in Q2 2026, up 100.63 percentage points from -4.55% a year earlier but down 131.55 percentage points from the prior quarter.
Castor Maritime (CTRM) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Castor Maritime's Return on Sales [ROS] was 98.27% through Jun 30, 2026, up 157.65 percentage points year-over-year; for FY2025, it came in at -22.52%, down 54.87 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -26.14 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 32.35% in FY2024 (+9.78 pp), 22.57% in FY2023 (-26.09 pp), 48.66% in FY2022 (-5.20 pp) and 53.86% in FY2021 (+50.24 pp).
- Quarterly Return on Sales [ROS] has moved between -164.41% (Q1 2025) and 227.62% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +9.70 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2026 (a gain of 392.03 percentage points); the worst was Q1 2025 (a drop of 273.93 percentage points).
- Per Business Quant data, CTRM's Return on Sales [ROS] in the three quarters before Q2 2026 was 227.62% (Q1 2026), 51.26% (Q4 2025) and 20.38% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 40.89% |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 7.63% |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 35.25% |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 6.20% |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 32.61% |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 28.46% |
| 10 | Castor Maritime | 13.04 Mn | -668.71 Mn | 17.17 Mn | 96.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.08% |
| Mar 31, 2026 | 227.62% |
| Dec 31, 2025 | 51.26% |
| Sep 30, 2025 | 20.38% |
| Jun 30, 2025 | -4.55% |
| Mar 31, 2025 | -164.41% |
| Dec 31, 2024 | -43.38% |
| Sep 30, 2024 | 7.32% |
| Jun 30, 2024 | 95.64% |
| Mar 31, 2024 | 58.30% |
| Dec 31, 2023 | 28.23% |
| Sep 30, 2023 | 17.69% |
| Jun 30, 2023 | 30.19% |
| Mar 31, 2023 | 12.86% |
| Dec 31, 2022 | 31.46% |
| Sep 30, 2022 | 50.16% |
| Jun 30, 2022 | 56.38% |
| Mar 31, 2022 | 52.81% |
| Dec 31, 2021 | 50.90% |
| Sep 30, 2021 | 37.99% |
Castor 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=CTRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CTRM", "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=CTRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();