Landstar System (LSTR) Total Current Liabilities (2009 - 2026)
Landstar System's Total Current Liabilities came in at $723.92 million for Q2 2026, up 16.9% from $619.14 million a year earlier and up 14.8% from the prior quarter.
Landstar System (LSTR) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Landstar System's Total Current Liabilities was $695.84 million, up 3.4% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $673.15 million in FY2024 (-0.3%), $675.22 million in FY2023 (-23.1%), $878.14 million in FY2022 (-13.1%) and $1.01 billion in FY2021 (+25.3%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q1 2023.
- Year-over-year, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2022 (growth of 43.4%), and the weakest in Q2 2023 (a decline of 29.2%).
- Business Quant data shows LSTR's Total Current Liabilities at $630.72 million (Q1 2026), $695.84 million (Q4 2025) and $619.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 5.61 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 3.37 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 9.13 Bn |
| 10 | Landstar System | 5.72 Bn | 4.07 Bn | - | 723.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 723.92 Mn |
| Mar 28, 2026 | 630.72 Mn |
| Dec 27, 2025 | 695.84 Mn |
| Sep 27, 2025 | 619.08 Mn |
| Jun 28, 2025 | 619.14 Mn |
| Mar 29, 2025 | 612.31 Mn |
| Dec 28, 2024 | 673.15 Mn |
| Sep 28, 2024 | 592.65 Mn |
| Jun 29, 2024 | 605.72 Mn |
| Mar 30, 2024 | 589.67 Mn |
| Dec 30, 2023 | 675.22 Mn |
| Sep 30, 2023 | 670.07 Mn |
| Jul 1, 2023 | 692.83 Mn |
| Apr 1, 2023 | 741.34 Mn |
| Dec 31, 2022 | 878.14 Mn |
| Sep 24, 2022 | 941.52 Mn |
| Jun 25, 2022 | 977.89 Mn |
| Mar 26, 2022 | 950.25 Mn |
| Dec 25, 2021 | 1.01 Bn |
| Sep 25, 2021 | 847.31 Mn |
Landstar System Total Current Liabilities 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=total-current-liabilities&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();