Ryder System (R) Return on Sales [ROS] (2009 - 2026)
Ryder System (R) posted Return on Sales [ROS] of -73.46% for Q3 2026, down 0.43 percentage points from -73.04% a year earlier but up 1.29 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 Sep 30, 2026, Return on Sales [ROS] at Ryder System was -75.00%, down 0.74 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 four quarters, with an average year-over-year change of +0.20 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 -74.75% (Q2 2026), -77.22% (Q1 2026) and -74.74% (Q4 2025).
Peer Set
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 | Ryder System | 10.19 Bn | 9.39 Bn | 685.00 Mn | 9.38% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.38% |
| Jun 30, 2026 | 8.43% |
| Mar 31, 2026 | 6.88% |
| Dec 31, 2025 | 8.72% |
| Sep 30, 2025 | 9.21% |
| Jun 30, 2025 | 8.97% |
| Mar 31, 2025 | 7.47% |
| Dec 31, 2024 | 8.81% |
| Sep 30, 2024 | 9.03% |
| Jun 30, 2024 | 8.61% |
| Mar 31, 2024 | 6.65% |
| Dec 31, 2023 | 8.07% |
| Sep 30, 2023 | 9.85% |
| Jun 30, 2023 | 4.02% |
| Mar 31, 2023 | 9.01% |
| Dec 31, 2022 | 11.50% |
| Sep 30, 2022 | 12.88% |
| Jun 30, 2022 | 12.99% |
| Mar 31, 2022 | 10.65% |
| Dec 31, 2021 | 11.05% |
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();