Landstar System (LSTR) Selling, General & Administrative (2009 - 2026)
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Analysis
Landstar System (LSTR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 108.32 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | - |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | - |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 210.80 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 390.00 Mn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 68.19 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 295.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 211.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 27.13 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 28.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 68.19 Mn |
| Mar 28, 2026 | 60.97 Mn |
| Dec 27, 2025 | 56.25 Mn |
| Sep 27, 2025 | 57.02 Mn |
| Jun 28, 2025 | 55.71 Mn |
| Mar 29, 2025 | 61.58 Mn |
| Dec 28, 2024 | 55.10 Mn |
| Sep 28, 2024 | 51.25 Mn |
| Jun 29, 2024 | 54.94 Mn |
| Mar 30, 2024 | 56.42 Mn |
| Dec 30, 2023 | 52.73 Mn |
| Sep 30, 2023 | 50.98 Mn |
| Jul 1, 2023 | 54.53 Mn |
| Apr 1, 2023 | 53.57 Mn |
| Dec 31, 2022 | 56.08 Mn |
| Sep 24, 2022 | 53.52 Mn |
| Jun 25, 2022 | 58.97 Mn |
| Mar 26, 2022 | 52.71 Mn |
| Dec 25, 2021 | 62.56 Mn |
| Sep 25, 2021 | 59.20 Mn |
API Access
Landstar System Selling, General & Administrative 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=selling-general-and-administrative&ticker=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();