Landstar System (LSTR) Operating Expenses (2009 - 2026)
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Analysis
Landstar System (LSTR) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | 4.25 Bn |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 2.45 Bn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 21.11 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 1.95 Bn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 23.46 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 2.38 Bn |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 18.73 Bn |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 16.43 Bn |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | 1.14 Bn |
| 10 | Landstar System | 4.91 Bn | 3.35 Bn | 329.74 Mn | 1.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.45 Bn |
| 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 |
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();