Landstar System (LSTR) Receivables - Net (2009 - 2026)
Landstar System's (LSTR) quarterly Receivables - Net came in at $866.9 million in Q2 2026, up 20.86% year-over-year from $717.2 million in Q2 2025, and up 25.27% quarter-over-quarter from $692.0 million in Q1 2026.
Landstar System (LSTR) Receivables - Net (2009 - 2026) Analysis & Trends
Landstar System has disclosed Receivables - Net across 18 years of filings, most recently posting $866.9 million for Q2 2026.
- In Q2 2026, Receivables - Net rose 20.86% year-over-year to $866.9 million; the TTM figure through Jun 2026 stood at $866.9 million (up 20.86% YoY), while the FY2025 annual figure was $670.1 million, down 2.0% from the prior year.
- Receivables - Net came in at $866.9 million for Q2 2026 at Landstar System, up from $692.0 million in the prior quarter.
- In the past five years, Receivables - Net ranged from a high of $1.2 billion in Q1 2022 to a low of $670.1 million in Q4 2025.
- Average Receivables - Net over 5 years is $834.3 million, with a median of $734.1 million recorded in 2023.
- Year-over-year, Receivables - Net surged 48.28% in 2022 and tumbled 30.22% in 2023.
- Over 5 years, Receivables - Net stood at $967.8 million in 2022, then declined by 23.15% to $743.8 million in 2023, then fell by 8.06% to $683.8 million in 2024, then dropped by 2.0% to $670.1 million in 2025, then increased by 29.36% to $866.9 million in 2026.
- Per Business Quant data, the three most recent Receivables - Net figures were $866.9 million in Q2 2026, $692.0 million in Q1 2026, and $670.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 866.88 Mn |
| Mar 28, 2026 | 692.02 Mn |
| Dec 27, 2025 | 670.14 Mn |
| Sep 27, 2025 | 695.98 Mn |
| Jun 28, 2025 | 717.25 Mn |
| Mar 29, 2025 | 703.18 Mn |
| Dec 28, 2024 | 683.84 Mn |
| Sep 28, 2024 | 694.63 Mn |
| Jun 29, 2024 | 724.48 Mn |
| Mar 30, 2024 | 723.84 Mn |
| Dec 30, 2023 | 743.76 Mn |
| Sep 30, 2023 | 810.80 Mn |
| Jul 1, 2023 | 848.84 Mn |
| Apr 1, 2023 | 899.81 Mn |
| Dec 31, 2022 | 967.79 Mn |
| Sep 24, 2022 | 1.13 Bn |
| Jun 25, 2022 | 1.22 Bn |
| Mar 26, 2022 | 1.22 Bn |
| Dec 25, 2021 | 1.15 Bn |
| Sep 25, 2021 | 1.01 Bn |
Landstar System Receivables - Net 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=receivables-net&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();