Schneider National (SNDR) Return on Sales [ROS] (2016 - 2026)
Schneider National (SNDR) reported Return on Sales [ROS] of 4.55% for Q2 2026, up 0.68 percentage points from 3.87% a year earlier and up 2.16 percentage points from the prior quarter.
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Analysis
Schneider National (SNDR) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Schneider National's Return on Sales [ROS] came in at 3.03%, down 0.30 percentage points year-over-year; for FY2025, it came in at 2.98%, down 0.15 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -3.32 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 3.12% in FY2024 (-2.27 pp), 5.39% in FY2023 (-3.70 pp), 9.09% in FY2022 (-0.42 pp) and 9.52% in FY2021 (+3.22 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2023.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of +0.02 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2021 (a gain of 5.07 percentage points); the low point was Q4 2023 (a drop of 6.89 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 2.39% (Q1 2026), 2.61% (Q4 2025) and 2.43% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Schneider National | 5.76 Bn | 4.69 Bn | - | 4.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.55% |
| Mar 31, 2026 | 2.39% |
| Dec 31, 2025 | 2.61% |
| Sep 30, 2025 | 2.43% |
| Jun 30, 2025 | 3.87% |
| Mar 31, 2025 | 3.00% |
| Dec 31, 2024 | 3.17% |
| Sep 30, 2024 | 3.28% |
| Jun 30, 2024 | 3.87% |
| Mar 31, 2024 | 2.18% |
| Dec 31, 2023 | 2.28% |
| Sep 30, 2023 | 3.45% |
| Jun 30, 2023 | 7.71% |
| Mar 31, 2023 | 8.02% |
| Dec 31, 2022 | 9.18% |
| Sep 30, 2022 | 8.68% |
| Jun 30, 2022 | 10.11% |
| Mar 31, 2022 | 8.34% |
| Dec 31, 2021 | 11.30% |
| Sep 30, 2021 | 10.64% |
API Access
Schneider National 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=SNDR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SNDR", "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=SNDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();