Csx (CSX) Return on Sales [ROS] (2009 - 2026)
Csx (CSX) reported Return on Sales [ROS] of 38.27% for Q2 2026, up 2.37 percentage points from 35.90% a year earlier and up 2.29 percentage points from the prior quarter.
Csx (CSX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Csx's Return on Sales [ROS] came in at 34.13%, up 0.33 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 Q2 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 three quarters, with an average year-over-year change of -1.33 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2026 (a gain of 5.57 percentage points); the low point was Q2 2022 (a drop of 11.92 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 35.99% (Q1 2026), 31.57% (Q4 2025) and 30.30% (Q3 2025).
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 | Ryanair Holdings | 28.28 Bn | 12.29 Bn | 3.13 Bn | 13.12% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 43.62% |
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();