Landstar System (LSTR) Return on Sales [ROS] (2009 - 2026)
Landstar System (LSTR) posted Return on Sales [ROS] of 4.62% for Q2 2026, down 0.02 percentage points from 4.65% a year earlier but up 0.08 percentage points from the prior quarter.
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Analysis
Landstar System (LSTR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Return on Sales [ROS] at Landstar System was 3.52%, down 1.01 percentage points year-over-year; for FY2025, it came in at 3.20%, down 1.97 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four consecutive years, with a four-year change of -4.54 percentage points (FY2021 to FY2025).
- In prior years, Landstar System's Return on Sales [ROS] was 5.16% in FY2024 (-1.32 pp), 6.49% in FY2023 (-1.19 pp), 7.68% in FY2022 (-0.06 pp) and 7.73% in FY2021.
- Quarterly Return on Sales [ROS] has run from a low of 2.18% in Q3 2025 to a high of 8.26% in Q1 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -1.15 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 1.12 percentage points; the weakest was Q3 2025, with a drop of 3.02 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 4.55% (Q1 2026), 2.52% (Q4 2025) and 2.18% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | 40.89% |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 39.08% |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 7.63% |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 35.25% |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 6.20% |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 32.61% |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | 28.46% |
| 10 | Landstar System | 4.91 Bn | 3.35 Bn | 329.74 Mn | 4.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 4.34% |
| Jun 27, 2026 | 4.62% |
| Mar 28, 2026 | 4.55% |
| Dec 27, 2025 | 2.52% |
| Sep 27, 2025 | 2.18% |
| Jun 28, 2025 | 4.65% |
| Mar 29, 2025 | 3.42% |
| Dec 28, 2024 | 4.78% |
| Sep 28, 2024 | 5.20% |
| Jun 29, 2024 | 5.56% |
| Mar 30, 2024 | 5.12% |
| Dec 30, 2023 | 6.19% |
| Sep 30, 2023 | 6.23% |
| Jul 1, 2023 | 6.40% |
| Apr 1, 2023 | 7.05% |
| Dec 31, 2022 | 7.42% |
| Sep 24, 2022 | 7.35% |
| Jun 25, 2022 | 7.62% |
| Mar 26, 2022 | 8.26% |
| Dec 25, 2021 | 7.65% |
API Access
Landstar 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=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LSTR", "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=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();