Landstar System (LSTR) Total Non-Current Liabilities (2009 - 2026)
Landstar System (LSTR) reported Total Non-Current Liabilities of $807.12 million for Q2 2026, up 14.6% from $704.55 million a year earlier and up 14.2% from the prior quarter.
Landstar System (LSTR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Landstar System posted Total Non-Current Liabilities of $777.56 million, down 0.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $778.03 million in FY2024 (+2.5%), $759 million in FY2023 (-23.1%), $986.39 million in FY2022 (-13.0%) and $1.13 billion in FY2021 (+22.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 2.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 47.5%); the low point was Q3 2023 (a decline of 29.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $706.72 million (Q1 2026), $777.56 million (Q4 2025) and $705.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 48.79 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 27.16 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Landstar System | 5.72 Bn | 4.08 Bn | - | 807.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 807.12 Mn |
| Mar 28, 2026 | 706.72 Mn |
| Dec 27, 2025 | 777.56 Mn |
| Sep 27, 2025 | 705.93 Mn |
| Jun 28, 2025 | 704.55 Mn |
| Mar 29, 2025 | 709.99 Mn |
| Dec 28, 2024 | 778.03 Mn |
| Sep 28, 2024 | 681.48 Mn |
| Jun 29, 2024 | 694.53 Mn |
| Mar 30, 2024 | 668.26 Mn |
| Dec 30, 2023 | 759.00 Mn |
| Sep 30, 2023 | 752.60 Mn |
| Jul 1, 2023 | 786.96 Mn |
| Apr 1, 2023 | 844.23 Mn |
| Dec 31, 2022 | 986.39 Mn |
| Sep 24, 2022 | 1.06 Bn |
| Jun 25, 2022 | 1.11 Bn |
| Mar 26, 2022 | 1.14 Bn |
| Dec 25, 2021 | 1.13 Bn |
| Sep 25, 2021 | 967.44 Mn |
Landstar System Total Non-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-non-current-liabilities&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();