Landstar System (LSTR) Other Operating Expenses (2009 - 2026)
Landstar System (LSTR) posted Other Operating Expenses of $1.29 billion for Q2 2026, up 18.3% from $1.09 billion a year earlier and up 22.9% from the prior quarter.
Landstar System (LSTR) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Other Operating Expenses at Landstar System was $4.5 billion, up 4.5% year-over-year; for FY2025, it came in at $4.3 billion, down 0.3% from FY2024.
- Annual Other Operating Expenses has declined for three consecutive years, with a four-year compound annual growth rate of -7.1% (FY2021 to FY2025).
- In prior years, Landstar System's Other Operating Expenses was $4.31 billion in FY2024 (-8.3%), $4.7 billion in FY2023 (-28.6%), $6.59 billion in FY2022 (+14.3%) and $5.76 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q4 2022.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with growth averaging 1.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 54.6%; the weakest was Q2 2023, with a decline of 30.4%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $1.05 billion (Q1 2026), $1.08 billion (Q4 2025) and $1.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn |
| 10 | Landstar System | 4.91 Bn | 3.35 Bn | 329.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 138.90 Mn |
| Jun 27, 2026 | 127.38 Mn |
| Mar 28, 2026 | 106.94 Mn |
| Dec 27, 2025 | 110.46 Mn |
| Sep 27, 2025 | 114.27 Mn |
| Jun 28, 2025 | 119.12 Mn |
| Mar 29, 2025 | 105.14 Mn |
| Dec 28, 2024 | 111.59 Mn |
| Sep 28, 2024 | 113.85 Mn |
| Jun 29, 2024 | 113.95 Mn |
| Mar 30, 2024 | 112.14 Mn |
| Dec 30, 2023 | 112.46 Mn |
| Sep 30, 2023 | 130.40 Mn |
| Jul 1, 2023 | 135.94 Mn |
| Apr 1, 2023 | 138.05 Mn |
| Dec 31, 2022 | 159.42 Mn |
| Sep 24, 2022 | 167.48 Mn |
| Jun 25, 2022 | 172.24 Mn |
| Mar 26, 2022 | 160.92 Mn |
| Dec 25, 2021 | 159.63 Mn |
Landstar System Other Operating Expenses 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=other-operating-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();