Csx (CSX) Return on Sales [ROS] (2009 - 2026)
Csx (CSX) reported Return on Sales [ROS] of 39.08% for Q3 2026, up 8.78 percentage points from 30.30% a year earlier and up 0.81 percentage points from the prior quarter.
Csx (CSX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Csx's Return on Sales [ROS] came in at 36.38%, up 4.40 percentage points year-over-year; for FY2025, it came in at 32.06%, down 4.01 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -9.15 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 36.07% in FY2024 (-1.45 pp), 37.52% in FY2023 (-2.57 pp), 40.09% in FY2022 (-4.59 pp) and 44.67% in FY2021 (+3.46 pp).
- The Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2024.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of -0.46 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2026 (a gain of 8.78 percentage points); the low point was Q2 2022 (a drop of 11.92 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 38.27% (Q2 2026), 35.99% (Q1 2026) and 31.57% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.57 Bn | 165.82 Bn | - | 40.89% |
| 2 | Csx | 93.73 Bn | 88.95 Bn | - | 39.08% |
| 3 | United Parcel Service | 85.38 Bn | 62.27 Bn | - | 4.07% |
| 4 | Canadian Pacific Kansas City | 79.16 Bn | 78.18 Bn | - | 35.35% |
| 5 | Norfolk Southern | 74.37 Bn | 68.83 Bn | - | 32.61% |
| 6 | Fedex | 70.74 Bn | 36.69 Bn | - | 6.20% |
| 7 | Delta Air Lines | 50.02 Bn | 32.21 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 37.99 Bn | 37.25 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 31.82 Bn | -25.87 Bn | - | 8.09% |
| 10 | Ryanair Holdings | 27.75 Bn | 11.40 Bn | - | 13.12% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 39.08% |
| Jun 30, 2026 | 38.27% |
| Mar 31, 2026 | 35.99% |
| Dec 31, 2025 | 31.57% |
| Sep 30, 2025 | 30.30% |
| Jun 30, 2025 | 35.90% |
| Mar 31, 2025 | 30.41% |
| Dec 31, 2024 | 31.25% |
| Sep 30, 2024 | 37.41% |
| Jun 30, 2024 | 39.12% |
| Mar 31, 2024 | 36.32% |
| Dec 31, 2023 | 35.73% |
| Sep 30, 2023 | 35.58% |
| Jun 30, 2023 | 39.63% |
| Mar 31, 2023 | 39.04% |
| Dec 31, 2022 | 37.27% |
| Sep 30, 2022 | 40.54% |
| Jun 30, 2022 | 44.64% |
| Mar 31, 2022 | 37.56% |
| Dec 31, 2021 | 39.86% |
Csx 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=CSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CSX", "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=CSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();