Ryder System (R) Return on Sales [ROS] (2009 - 2026)
Ryder System (R) posted Return on Sales [ROS] of -74.75% for Q2 2026, down 1.28 percentage points from -73.47% a year earlier but up 2.47 percentage points from the prior quarter.
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Analysis
Ryder System (R) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Ryder System was -74.93%, down 0.46 percentage points year-over-year; for FY2025, it was -74.41%, up 0.79 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +11.99 percentage points (FY2020 to FY2025).
- In prior years, Ryder System's Return on Sales [ROS] was -75.20% in FY2024 (+0.05 pp), -75.24% in FY2023 (-5.27 pp), -69.98% in FY2022 (+4.20 pp) and -74.18% in FY2021 (+12.22 pp).
- Quarterly Return on Sales [ROS] has run from a low of -78.08% in Q1 2024 to a high of -68.29% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of +0.06 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 9.51 percentage points; the weakest was Q2 2023, with a drop of 9.72 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -77.22% (Q1 2026), -74.74% (Q4 2025) and -73.04% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 167.50 Bn | 162.03 Bn | - | 40.25% |
| 2 | Csx | 88.57 Bn | 84.77 Bn | - | 38.27% |
| 3 | United Parcel Service | 80.55 Bn | 57.44 Bn | - | 4.07% |
| 4 | Canadian Pacific Kansas City | 75.98 Bn | 75.00 Bn | - | 35.35% |
| 5 | Norfolk Southern | 72.12 Bn | 66.76 Bn | - | 32.44% |
| 6 | Fedex | 68.77 Bn | 34.71 Bn | - | 6.20% |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 38.02 Bn | 37.28 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 33.53 Bn | -22.84 Bn | - | 6.20% |
| 10 | Ryder System | 9.22 Bn | 8.43 Bn | 660.00 Mn | -74.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -74.75% |
| Mar 31, 2026 | -77.22% |
| Dec 31, 2025 | -74.74% |
| Sep 30, 2025 | -73.04% |
| Jun 30, 2025 | -73.47% |
| Mar 31, 2025 | -76.33% |
| Dec 31, 2024 | -74.22% |
| Sep 30, 2024 | -73.86% |
| Jun 30, 2024 | -74.64% |
| Mar 31, 2024 | -78.08% |
| Dec 31, 2023 | -75.19% |
| Sep 30, 2023 | -72.30% |
| Jun 30, 2023 | -78.02% |
| Mar 31, 2023 | -75.51% |
| Dec 31, 2022 | -71.18% |
| Sep 30, 2022 | -68.63% |
| Jun 30, 2022 | -68.29% |
| Mar 31, 2022 | -71.90% |
| Dec 31, 2021 | -71.73% |
| Sep 30, 2021 | -74.10% |
API Access
Ryder System 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=R&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "R", "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=R&period=max&api_key=YOUR_API_KEY");
const data = await res.json();