Landstar System (LSTR) Selling, General & Administrative (2009 - 2026)
Landstar System (LSTR) recorded Selling, General & Administrative of $68.19 million in Q2 2026, up 22.4% from $55.71 million a year earlier and up 11.9% from the prior quarter.
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Analysis
Landstar System (LSTR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Landstar System's Selling, General & Administrative came in at $242.42 million as of Jun 27, 2026, up 8.4% year-over-year; for FY2025, it was $230.55 million, up 5.9% from FY2024.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 1.0% (FY2021 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $217.71 million in FY2024 (+2.8%), $211.8 million in FY2023 (-4.3%), $221.28 million in FY2022 (unchanged) and $221.28 million in FY2021.
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2009.
- On a year-over-year basis, Selling, General & Administrative rose in seven of the last eight quarters, with growth averaging 6.3%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 22.4% in Q2 2026, against a decline of 10.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $60.97 million (Q1 2026), $56.25 million (Q4 2025) and $57.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - | - |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - | - |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - | - |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - | - |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - | - |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | - |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - | - |
| 10 | Landstar System | 5.75 Bn | 4.10 Bn | - | 68.19 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();