Landstar System (LSTR) Operating Expenses (2009 - 2026)
Landstar System (LSTR) posted Operating Expenses of $1.37 billion for Q2 2026, up 18.1% from $1.16 billion a year earlier and up 22.1% from the prior quarter.
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Analysis
Landstar System (LSTR) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Landstar System was $4.82 billion, up 5.1% year-over-year; for FY2025, it came in at $4.61 billion, up 0.5% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of -6.5% (FY2021 to FY2025).
- In prior years, Landstar System's Operating Expenses was $4.59 billion in FY2024 (-7.7%), $4.97 billion in FY2023 (-27.7%), $6.87 billion in FY2022 (+13.8%) and $6.03 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 52.6%; the weakest was Q2 2023, with a decline of 29.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.12 billion (Q1 2026), $1.15 billion (Q4 2025) and $1.18 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 4.10 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Landstar System | 5.72 Bn | 4.07 Bn | - | 1.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.37 Bn |
| Mar 28, 2026 | 1.12 Bn |
| Dec 27, 2025 | 1.15 Bn |
| Sep 27, 2025 | 1.18 Bn |
| Jun 28, 2025 | 1.16 Bn |
| Mar 29, 2025 | 1.12 Bn |
| Dec 28, 2024 | 1.16 Bn |
| Sep 28, 2024 | 1.15 Bn |
| Jun 29, 2024 | 1.16 Bn |
| Mar 30, 2024 | 1.11 Bn |
| Dec 30, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jul 1, 2023 | 1.29 Bn |
| Apr 1, 2023 | 1.34 Bn |
| Dec 31, 2022 | 1.55 Bn |
| Sep 24, 2022 | 1.68 Bn |
| Jun 25, 2022 | 1.83 Bn |
| Mar 26, 2022 | 1.81 Bn |
| Dec 25, 2021 | 1.80 Bn |
| Sep 25, 2021 | 1.60 Bn |
API Access
Landstar System 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=operating-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();