Landstar System (LSTR) Tax Provisions (2009 - 2026)
Landstar System's Tax Provisions came in at $16.47 million for Q2 2026, up 20.3% from $13.69 million a year earlier and up 24.0% from the prior quarter.
Landstar System (LSTR) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Landstar System reported Tax Provisions of $41.86 million, down 16.7% year-over-year; for FY2025, it was $35.57 million, down 39.1% from FY2024.
- Tax Provisions has declined in each of the last three years, with a four-year compound annual growth rate of -26.2% (FY2021 to FY2025).
- Going back by year, Tax Provisions was $58.38 million in FY2024 (-30.3%), $83.7 million in FY2023 (-38.7%), $136.55 million in FY2022 (+13.6%) and $120.17 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Tax Provisions since Q2 2024.
- Year-over-year, Tax Provisions increased in two of the last eight quarters, with an average decline of 20.8%.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2022 (growth of 47.6%), and the weakest in Q4 2025 (a decline of 57.2%).
- Business Quant data shows LSTR's Tax Provisions at $13.28 million (Q1 2026), $5.37 million (Q4 2025) and $6.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 562.00 Mn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 318.00 Mn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 157.00 Mn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 242.18 Mn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 225.00 Mn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 318.00 Mn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 116.87 Mn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 221.00 Mn |
| 10 | Landstar System | 5.81 Bn | 4.16 Bn | - | 16.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 16.47 Mn |
| Mar 28, 2026 | 13.28 Mn |
| Dec 27, 2025 | 5.37 Mn |
| Sep 27, 2025 | 6.75 Mn |
| Jun 28, 2025 | 13.69 Mn |
| Mar 29, 2025 | 9.77 Mn |
| Dec 28, 2024 | 12.54 Mn |
| Sep 28, 2024 | 14.25 Mn |
| Jun 29, 2024 | 17.11 Mn |
| Mar 30, 2024 | 14.48 Mn |
| Dec 30, 2023 | 18.45 Mn |
| Sep 30, 2023 | 19.74 Mn |
| Jul 1, 2023 | 21.70 Mn |
| Apr 1, 2023 | 23.82 Mn |
| Dec 31, 2022 | 30.69 Mn |
| Sep 24, 2022 | 32.23 Mn |
| Jun 25, 2022 | 36.76 Mn |
| Mar 26, 2022 | 36.87 Mn |
| Dec 25, 2021 | 34.42 Mn |
| Sep 25, 2021 | 31.77 Mn |
Landstar System Tax Provisions 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=tax-provisions&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();