Landstar System (LSTR) Return on Capital Employed [ROCE] (2010 - 2026)
Landstar System's Return on Capital Employed [ROCE] came in at 18.49% for Q2 2026, down 1.41 percentage points from 19.89% a year earlier but up 1.75 percentage points from the prior quarter.
Landstar System (LSTR) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Landstar System's Return on Capital Employed [ROCE] was 14.73%, down 7.21 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last four years, with a four-year change of -45.49 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 21.94% in FY2024 (-6.94 pp), 28.88% in FY2023 (-22.54 pp), 51.42% in FY2022 (-8.80 pp) and 60.22% in FY2021.
- The five-year range for quarterly Return on Capital Employed [ROCE] is 15.90% (Q4 2025) to 56.32% (Q2 2022).
- Year-over-year, Return on Capital Employed [ROCE] has declined for 14 consecutive quarters, with an average year-over-year change of -5.70 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2022 (a gain of 23.03 percentage points), and the weakest in Q4 2023 (a drop of 22.90 percentage points).
- Business Quant data shows LSTR's Return on Capital Employed [ROCE] at 16.73% (Q1 2026), 15.90% (Q4 2025) and 16.93% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 15.69% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 6.84% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 9.67% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 11.61% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 8.86% |
| 10 | Landstar System | 5.89 Bn | 4.24 Bn | - | 18.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.49% |
| Mar 28, 2026 | 16.73% |
| Dec 27, 2025 | 15.90% |
| Sep 27, 2025 | 16.93% |
| Jun 28, 2025 | 19.89% |
| Mar 29, 2025 | 19.82% |
| Dec 28, 2024 | 22.38% |
| Sep 28, 2024 | 22.84% |
| Jun 29, 2024 | 24.71% |
| Mar 30, 2024 | 25.57% |
| Dec 30, 2023 | 29.88% |
| Sep 30, 2023 | 33.52% |
| Jul 1, 2023 | 39.05% |
| Apr 1, 2023 | 44.56% |
| Dec 31, 2022 | 52.78% |
| Sep 24, 2022 | 56.11% |
| Jun 25, 2022 | 56.32% |
| Mar 26, 2022 | 51.60% |
| Dec 25, 2021 | 52.14% |
| Sep 25, 2021 | 45.70% |
Landstar System Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();