Landstar System (LSTR) Other Accumulated Expenses (2009 - 2026)
Landstar System's (LSTR) quarterly Other Accumulated Expenses came in at $99.6 million in Q2 2026, up 8.71% year-over-year from $91.6 million in Q2 2025, and up 12.85% quarter-over-quarter from $88.3 million in Q1 2026.
Landstar System (LSTR) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Landstar System has disclosed Other Accumulated Expenses across 18 years of filings, most recently posting $99.6 million for Q2 2026.
- In Q2 2026, Other Accumulated Expenses rose 8.71% year-over-year to $99.6 million; the TTM figure through Jun 2026 stood at $99.6 million (up 8.71% YoY), while the FY2025 annual figure was $78.9 million, down 6.39% from the prior year.
- Other Accumulated Expenses came in at $99.6 million for Q2 2026 at Landstar System, up from $88.3 million in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $104.3 million in Q3 2022 to a low of $42.7 million in Q3 2024.
- Average Other Accumulated Expenses over 5 years is $85.4 million, with a median of $87.3 million recorded in 2024.
- Year-over-year, Other Accumulated Expenses plunged 48.26% in 2024 and soared 39.91% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $98.9 million in 2022, then declined by 22.61% to $76.6 million in 2023, then grew by 10.01% to $84.2 million in 2024, then slipped by 6.39% to $78.9 million in 2025, then increased by 26.29% to $99.6 million in 2026.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $99.6 million in Q2 2026, $88.3 million in Q1 2026, and $78.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 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 |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 99.59 Mn |
| Mar 28, 2026 | 88.25 Mn |
| Dec 27, 2025 | 78.86 Mn |
| Sep 27, 2025 | 59.76 Mn |
| Jun 28, 2025 | 91.61 Mn |
| Mar 29, 2025 | 93.70 Mn |
| Dec 28, 2024 | 84.24 Mn |
| Sep 28, 2024 | 42.71 Mn |
| Jun 29, 2024 | 75.17 Mn |
| Mar 30, 2024 | 86.32 Mn |
| Dec 30, 2023 | 76.57 Mn |
| Sep 30, 2023 | 82.55 Mn |
| Jul 1, 2023 | 80.20 Mn |
| Apr 1, 2023 | 100.98 Mn |
| Dec 31, 2022 | 98.95 Mn |
| Sep 24, 2022 | 104.27 Mn |
| Jun 25, 2022 | 102.96 Mn |
| Mar 26, 2022 | 89.79 Mn |
| Dec 25, 2021 | 130.53 Mn |
| Sep 25, 2021 | 110.39 Mn |
Landstar System Other 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=other-accumulated-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();