Landstar System (LSTR) Prepaid Assets (2009 - 2026)
Landstar System's (LSTR) quarterly Prepaid Assets came in at $59.2 million in Q2 2026, up 31.05% year-over-year from $45.1 million in Q2 2025, and up 189.39% quarter-over-quarter from $20.4 million in Q1 2026.
Landstar System (LSTR) Prepaid Assets (2009 - 2026) Analysis & Trends
Landstar System has disclosed Prepaid Assets across 18 years of filings, most recently posting $59.2 million for Q2 2026.
- In Q2 2026, Prepaid Assets rose 31.05% year-over-year to $59.2 million; the TTM figure through Jun 2026 stood at $59.2 million (up 31.05% YoY), while the FY2025 annual figure was $28.9 million, up 30.23% from the prior year.
- Prepaid Assets came in at $59.2 million for Q2 2026 at Landstar System, up from $20.4 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $59.2 million in Q2 2026 to a low of $10.4 million in Q1 2022.
- Average Prepaid Assets over 5 years is $31.3 million, with a median of $29.9 million recorded in 2023.
- Year-over-year, Prepaid Assets surged 39.87% in 2022 and slipped 23.11% in 2023.
- Over 5 years, Prepaid Assets stood at $21.8 million in 2022, then increased by 14.25% to $24.9 million in 2023, then decreased by 10.86% to $22.2 million in 2024, then jumped by 30.23% to $28.9 million in 2025, then jumped by 104.36% to $59.2 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $59.2 million in Q2 2026, $20.4 million in Q1 2026, and $28.9 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 | 59.16 Mn |
| Mar 28, 2026 | 20.44 Mn |
| Dec 27, 2025 | 28.95 Mn |
| Sep 27, 2025 | 44.41 Mn |
| Jun 28, 2025 | 45.14 Mn |
| Mar 29, 2025 | 16.57 Mn |
| Dec 28, 2024 | 22.23 Mn |
| Sep 28, 2024 | 33.95 Mn |
| Jun 29, 2024 | 44.57 Mn |
| Mar 30, 2024 | 15.54 Mn |
| Dec 30, 2023 | 24.94 Mn |
| Sep 30, 2023 | 30.92 Mn |
| Jul 1, 2023 | 41.67 Mn |
| Apr 1, 2023 | 12.68 Mn |
| Dec 31, 2022 | 21.83 Mn |
| Sep 24, 2022 | 35.49 Mn |
| Jun 25, 2022 | 54.19 Mn |
| Mar 26, 2022 | 10.44 Mn |
| Dec 25, 2021 | 16.16 Mn |
| Sep 25, 2021 | 25.38 Mn |
Landstar System Prepaid Assets 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=prepaid-assets&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();