Landstar System (LSTR) Total Liabilities (2009 - 2026)
Landstar System (LSTR) posted Total Liabilities of $905.81 million for Q2 2026, up 16.5% from $777.82 million a year earlier and up 12.8% from the prior quarter.
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Analysis
Landstar System (LSTR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Landstar System's Total Liabilities came in at $840.27 million, down 0.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In prior years, Landstar System's Total Liabilities was $840.87 million in FY2024 (+2.8%), $817.92 million in FY2023 (-21.7%), $1.04 billion in FY2022 (-11.7%) and $1.18 billion in FY2021 (+23.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2022.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 46.6%; the weakest was Q3 2023, with a decline of 27.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $803.22 million (Q1 2026), $840.27 million (Q4 2025) and $773.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 50.54 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Landstar System | 5.72 Bn | 4.07 Bn | - | 905.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 905.81 Mn |
| Mar 28, 2026 | 803.22 Mn |
| Dec 27, 2025 | 840.27 Mn |
| Sep 27, 2025 | 773.49 Mn |
| Jun 28, 2025 | 777.82 Mn |
| Mar 29, 2025 | 785.42 Mn |
| Dec 28, 2024 | 840.87 Mn |
| Sep 28, 2024 | 741.34 Mn |
| Jun 29, 2024 | 754.39 Mn |
| Mar 30, 2024 | 727.93 Mn |
| Dec 30, 2023 | 817.92 Mn |
| Sep 30, 2023 | 809.37 Mn |
| Jul 1, 2023 | 844.20 Mn |
| Apr 1, 2023 | 902.21 Mn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 24, 2022 | 1.12 Bn |
| Jun 25, 2022 | 1.16 Bn |
| Mar 26, 2022 | 1.19 Bn |
| Dec 25, 2021 | 1.18 Bn |
| Sep 25, 2021 | 1.01 Bn |
API Access
Landstar System Total 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-liabilities&ticker=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();