Landstar System (LSTR) EBITDA (2009 - 2026)
Landstar System's EBITDA was $76.64 million in Q2 2026, up 12.0% from $68.43 million a year earlier and up 20.1% from the prior quarter.
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Analysis
Landstar System (LSTR) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Landstar System's EBITDA was $218.32 million through Jun 27, 2026, down 18.9% year-over-year; for FY2025, it came in at $197.97 million, down 35.2% from FY2024.
- EBITDA has now declined for three consecutive years, with a four-year compound annual growth rate of -22.7% (FY2021 to FY2025).
- In earlier years, EBITDA was $305.65 million in FY2024 (-24.0%), $402.3 million in FY2023 (-36.0%), $628.54 million in FY2022 (+13.2%) and $555.28 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBITDA since Q3 2024.
- Compared with a year earlier, EBITDA was higher in two of the last eight quarters, with an average decline of 18.0%.
- The best year-over-year quarter for EBITDA over five years was Q1 2022 (growth of 53.1%); the worst was Q3 2025 (a decline of 51.8%).
- Per Business Quant data, LSTR's EBITDA in the three quarters before Q2 2026 was $63.8 million (Q1 2026), $40.06 million (Q4 2025) and $37.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 3.40 Bn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 1.86 Bn |
| 10 | Landstar System | 5.81 Bn | 4.16 Bn | - | 76.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 76.70 Mn |
| Mar 28, 2026 | 63.86 Mn |
| Dec 27, 2025 | 40.12 Mn |
| Sep 27, 2025 | 37.90 Mn |
| Jun 28, 2025 | 68.50 Mn |
| Mar 29, 2025 | 51.71 Mn |
| Dec 28, 2024 | 70.57 Mn |
| Sep 28, 2024 | 78.55 Mn |
| Jun 29, 2024 | 82.61 Mn |
| Mar 30, 2024 | 74.17 Mn |
| Dec 30, 2023 | 88.29 Mn |
| Sep 30, 2023 | 94.77 Mn |
| Jul 1, 2023 | 102.96 Mn |
| Apr 1, 2023 | 116.55 Mn |
| Dec 31, 2022 | 139.23 Mn |
| Sep 24, 2022 | 148.15 Mn |
| Jun 25, 2022 | 164.82 Mn |
| Mar 26, 2022 | 176.70 Mn |
| Dec 25, 2021 | 161.93 Mn |
| Sep 25, 2021 | 143.81 Mn |
API Access
Landstar System EBITDA 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=ebitda&ticker=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();