Landstar System (LSTR) Goodwill & Intangibles (2009 - 2026)
Landstar System's (LSTR) quarterly Goodwill & Intangibles came in at $34.0 million in Q2 2026, down 17.86% year-over-year from $41.4 million in Q2 2025, and little changed quarter-over-quarter from $34.0 million in Q1 2026.
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Analysis
Landstar System (LSTR) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
Landstar System has disclosed Goodwill & Intangibles across 18 years of filings, most recently posting $34.0 million for Q2 2026.
- In Q2 2026, Goodwill & Intangibles fell 17.86% year-over-year to $34.0 million; the TTM figure through Jun 2026 stood at $34.0 million (down 17.86% YoY), while the FY2025 annual figure was $34.0 million, down 16.93% from the prior year.
- Goodwill & Intangibles came in at $34.0 million for Q2 2026 at Landstar System, roughly flat from $34.0 million in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $42.4 million in Q1 2024 to a low of $34.0 million in Q3 2025.
- Average Goodwill & Intangibles over 5 years is $39.8 million, with a median of $41.1 million recorded in 2022.
- Year-over-year, Goodwill & Intangibles increased 2.9% in 2023 and retreated 17.86% in 2026.
- Over 5 years, Goodwill & Intangibles stood at $41.2 million in 2022, then climbed by 2.56% to $42.3 million in 2023, then decreased by 3.17% to $40.9 million in 2024, then decreased by 16.93% to $34.0 million in 2025, then changed by 0.0% to $34.0 million in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $34.0 million in Q2 2026, $34.0 million in Q1 2026, and $34.0 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 34.01 Mn |
| Mar 28, 2026 | 34.01 Mn |
| Dec 27, 2025 | 34.01 Mn |
| Sep 27, 2025 | 34.01 Mn |
| Jun 28, 2025 | 41.40 Mn |
| Mar 29, 2025 | 40.88 Mn |
| Dec 28, 2024 | 40.93 Mn |
| Sep 28, 2024 | 41.12 Mn |
| Jun 29, 2024 | 41.61 Mn |
| Mar 30, 2024 | 42.38 Mn |
| Dec 30, 2023 | 42.28 Mn |
| Sep 30, 2023 | 41.93 Mn |
| Jul 1, 2023 | 42.17 Mn |
| Apr 1, 2023 | 41.73 Mn |
| Dec 31, 2022 | 41.22 Mn |
| Sep 24, 2022 | 41.00 Mn |
| Jun 25, 2022 | 40.98 Mn |
| Mar 26, 2022 | 40.95 Mn |
| Dec 25, 2021 | 40.77 Mn |
| Sep 25, 2021 | 40.98 Mn |
API Access
Landstar System Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=LSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();