Landstar System (LSTR) Cash & Equivalents (2009 - 2026)
Landstar System's Cash & Equivalents was $294.35 million in Q2 2026, down 18.1% from $359.24 million a year earlier and down 16.7% from the prior quarter.
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Analysis
Landstar System (LSTR) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Landstar System came in at $396.69 million, down 23.0% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $515.02 million in FY2024 (+7.1%), $481.04 million in FY2023 (+41.7%), $339.58 million in FY2022 (+57.6%) and $215.52 million in FY2021 (-13.6%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q3 2022.
- Compared with a year earlier, Cash & Equivalents has declined for six straight quarters, with an average decline of 11.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2023 (growth of 360.9%); the worst was Q2 2022 (a decline of 58.0%).
- Per Business Quant data, LSTR's Cash & Equivalents in the three quarters before Q2 2026 was $353.26 million (Q1 2026), $396.69 million (Q4 2025) and $375.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.43 Bn | 171.95 Bn | - | 1.61 Bn |
| 2 | Csx | 95.92 Bn | 91.14 Bn | - | 1.22 Bn |
| 3 | United Parcel Service | 85.95 Bn | 62.85 Bn | - | 4.65 Bn |
| 4 | Canadian Pacific Kansas City | 80.52 Bn | 79.54 Bn | - | 257.58 Mn |
| 5 | Norfolk Southern | 75.79 Bn | 70.43 Bn | - | 1.07 Bn |
| 6 | Fedex | 71.86 Bn | 37.80 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 51.80 Bn | 33.98 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 39.47 Bn | 38.73 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 33.07 Bn | -24.62 Bn | - | 6.65 Bn |
| 10 | Landstar System | 5.75 Bn | 4.10 Bn | - | 294.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 294.35 Mn |
| Mar 28, 2026 | 353.26 Mn |
| Dec 27, 2025 | 396.69 Mn |
| Sep 27, 2025 | 375.19 Mn |
| Jun 28, 2025 | 359.24 Mn |
| Mar 29, 2025 | 417.42 Mn |
| Dec 28, 2024 | 515.02 Mn |
| Sep 28, 2024 | 468.83 Mn |
| Jun 29, 2024 | 438.06 Mn |
| Mar 30, 2024 | 467.67 Mn |
| Dec 30, 2023 | 481.04 Mn |
| Sep 30, 2023 | 439.66 Mn |
| Jul 1, 2023 | 360.53 Mn |
| Apr 1, 2023 | 340.99 Mn |
| Dec 31, 2022 | 339.58 Mn |
| Sep 24, 2022 | 177.80 Mn |
| Jun 25, 2022 | 78.22 Mn |
| Mar 26, 2022 | 146.03 Mn |
| Dec 25, 2021 | 215.52 Mn |
| Sep 25, 2021 | 230.56 Mn |
API Access
Landstar System Cash & Equivalents 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=cash-and-equivalents&ticker=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();