Union Pacific (UNP) Return on Sales [ROS] (2009 - 2026)
Union Pacific (UNP) posted Return on Sales [ROS] of 40.25% for Q2 2026, down 0.78 percentage points from 41.03% a year earlier but up 0.72 percentage points from the prior quarter.
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Analysis
Union Pacific (UNP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Union Pacific was 40.03%, down 0.30 percentage points year-over-year; for FY2025, it came in at 40.17%, up 0.12 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +0.06 percentage points (FY2020 to FY2025).
- In prior years, Union Pacific's Return on Sales [ROS] was 40.05% in FY2024 (+2.40 pp), 37.65% in FY2023 (-2.21 pp), 39.87% in FY2022 (-2.96 pp) and 42.83% in FY2021 (+2.72 pp).
- Quarterly Return on Sales [ROS] has run from a low of 36.64% in Q3 2023 to a high of 43.69% in Q3 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +0.63 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 3.54 percentage points; the weakest was Q2 2022, with a drop of 5.13 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 39.54% (Q1 2026), 39.46% (Q4 2025) and 40.82% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.89 Bn | 166.14 Bn | - | 40.89% |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - | 39.08% |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - | 4.07% |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - | 35.35% |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - | 32.61% |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - | 6.20% |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - | 8.09% |
| 10 | Ryanair Holdings | 27.71 Bn | 11.35 Bn | - | 13.12% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.89% |
| Jun 30, 2026 | 40.25% |
| Mar 31, 2026 | 39.54% |
| Dec 31, 2025 | 39.46% |
| Sep 30, 2025 | 40.82% |
| Jun 30, 2025 | 41.03% |
| Mar 31, 2025 | 39.34% |
| Dec 31, 2024 | 41.25% |
| Sep 30, 2024 | 39.67% |
| Jun 30, 2024 | 39.95% |
| Mar 31, 2024 | 39.33% |
| Dec 31, 2023 | 39.08% |
| Sep 30, 2023 | 36.64% |
| Jun 30, 2023 | 36.96% |
| Mar 31, 2023 | 37.88% |
| Dec 31, 2022 | 39.03% |
| Sep 30, 2022 | 40.10% |
| Jun 30, 2022 | 39.80% |
| Mar 31, 2022 | 40.56% |
| Dec 31, 2021 | 42.56% |
API Access
Union Pacific 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=UNP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "UNP", "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=UNP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();