Landstar System (LSTR) Accumulated Expenses (2009 - 2026)
Landstar System (LSTR) reported Accumulated Expenses of $87.39 million for Q3 2026, up 99.1% from $43.89 million a year earlier and up 48.1% from the prior quarter.
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Analysis
Landstar System (LSTR) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Landstar System posted Accumulated Expenses of $87.34 million, up 115.6% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $40.51 million in FY2024 (-3.1%), $41.83 million in FY2023 (-17.7%), $50.84 million in FY2022 (+8.4%) and $46.9 million in FY2021 (-68.7%).
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses since Q4 2020.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 37.9% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2025 (growth of 115.6%); the low point was Q4 2021 (a decline of 68.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $59.02 million (Q2 2026), $56.79 million (Q1 2026) and $87.34 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn |
| 10 | Landstar System | 4.91 Bn | 3.35 Bn | 329.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 87.39 Mn |
| Jun 27, 2026 | 59.02 Mn |
| Mar 28, 2026 | 56.79 Mn |
| Dec 27, 2025 | 87.34 Mn |
| Sep 27, 2025 | 43.89 Mn |
| Jun 28, 2025 | 36.80 Mn |
| Mar 29, 2025 | 37.64 Mn |
| Dec 28, 2024 | 40.51 Mn |
| Sep 28, 2024 | 43.37 Mn |
| Jun 29, 2024 | 42.68 Mn |
| Mar 30, 2024 | 40.68 Mn |
| Dec 30, 2023 | 41.83 Mn |
| Sep 30, 2023 | 45.52 Mn |
| Jul 1, 2023 | 45.16 Mn |
| Apr 1, 2023 | 50.06 Mn |
| Dec 31, 2022 | 50.84 Mn |
| Sep 24, 2022 | 58.13 Mn |
| Jun 25, 2022 | 53.97 Mn |
| Mar 26, 2022 | 52.64 Mn |
| Dec 25, 2021 | 46.90 Mn |
API Access
Landstar System Accumulated 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=accumulated-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();