Landstar System (LSTR) Sales of Property, Plant and Equipment (2009 - 2026)
Landstar System (LSTR) reported Sales of Property, Plant and Equipment of $1.68 million for Q2 2026, up 18.7% from $1.41 million a year earlier and up 43.1% from the prior quarter.
Landstar System (LSTR) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Landstar System's Sales of Property, Plant and Equipment came in at $4.09 million, down 66.0% year-over-year; for FY2025, it came in at $6.93 million, down 28.9% from FY2024.
- Sales of Property, Plant and Equipment has a four-year compound annual growth rate of 23.6% (FY2021 to FY2025).
- By year, Sales of Property, Plant and Equipment came in at $9.75 million in FY2024 (+17.5%), $8.29 million in FY2023 (+58.4%), $5.24 million in FY2022 (+76.2%) and $2.97 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Sales of Property, Plant and Equipment since Q1 2025.
- Year over year, Sales of Property, Plant and Equipment gained in four of the last eight quarters, with growth averaging 10.0%.
- The high point for year-over-year Sales of Property, Plant and Equipment in five years was Q3 2023 (growth of 558.8%); the low point was Q4 2025 (a decline of 84.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.17 million (Q1 2026), $527,000 (Q4 2025) and $708,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | - |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 7.00 Mn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 2.89 Mn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 116.00 Mn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 96.00 Mn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 21.00 Mn |
| 10 | Landstar System | 5.63 Bn | 3.98 Bn | - | 1.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.68 Mn |
| Mar 28, 2026 | 1.17 Mn |
| Dec 27, 2025 | 527,000.00 |
| Sep 27, 2025 | 708,000.00 |
| Jun 28, 2025 | 1.41 Mn |
| Mar 29, 2025 | 4.28 Mn |
| Dec 28, 2024 | 3.48 Mn |
| Sep 28, 2024 | 2.83 Mn |
| Jun 29, 2024 | 1.85 Mn |
| Mar 30, 2024 | 1.59 Mn |
| Dec 30, 2023 | 1.66 Mn |
| Sep 30, 2023 | 2.05 Mn |
| Jul 1, 2023 | 2.94 Mn |
| Apr 1, 2023 | 1.65 Mn |
| Dec 31, 2022 | 2.57 Mn |
| Sep 24, 2022 | 311,000.00 |
| Jun 25, 2022 | 1.72 Mn |
| Mar 26, 2022 | 643,000.00 |
| Dec 25, 2021 | 924,000.00 |
| Sep 25, 2021 | 609,000.00 |
Landstar System Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();