Landstar System (LSTR) Property, Plant & Equipment (Net) (2009 - 2026)
Landstar System (LSTR) reported Property, Plant & Equipment (Net) of $252.96 million for Q2 2026, down 12.0% from $287.5 million a year earlier and down 1.1% from the prior quarter.
Landstar System (LSTR) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Landstar System posted Property, Plant & Equipment (Net) of $261.32 million, down 16.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $311.35 million in FY2024 (+9.5%), $284.3 million in FY2023 (-9.7%), $314.99 million in FY2022 (-0.8%) and $317.39 million in FY2021 (+6.9%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2016.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last four quarters, with an average decline of 4.1% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2022 (growth of 11.8%); the low point was Q4 2025 (a decline of 16.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $255.74 million (Q1 2026), $261.32 million (Q4 2025) and $262.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 60.63 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 37.14 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 40.23 Bn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 37.89 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 36.86 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 42.21 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 49.37 Bn |
| 10 | Landstar System | 5.63 Bn | 3.98 Bn | - | 252.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 252.96 Mn |
| Mar 28, 2026 | 255.74 Mn |
| Dec 27, 2025 | 261.32 Mn |
| Sep 27, 2025 | 262.47 Mn |
| Jun 28, 2025 | 287.50 Mn |
| Mar 29, 2025 | 297.52 Mn |
| Dec 28, 2024 | 311.35 Mn |
| Sep 28, 2024 | 289.25 Mn |
| Jun 29, 2024 | 286.00 Mn |
| Mar 30, 2024 | 279.55 Mn |
| Dec 30, 2023 | 284.30 Mn |
| Sep 30, 2023 | 284.08 Mn |
| Jul 1, 2023 | 297.07 Mn |
| Apr 1, 2023 | 306.22 Mn |
| Dec 31, 2022 | 314.99 Mn |
| Sep 24, 2022 | 321.59 Mn |
| Jun 25, 2022 | 314.19 Mn |
| Mar 26, 2022 | 307.04 Mn |
| Dec 25, 2021 | 317.39 Mn |
| Sep 25, 2021 | 301.37 Mn |
Landstar System Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();