Landstar System (LSTR) Shares Outstanding (Entity) (2009 - 2026)
Landstar System (LSTR) posted Shares Outstanding (Entity) of 33.94 million for Q2 2026, down 2.1% from 34.65 million a year earlier and unchanged from the prior quarter.
Landstar System (LSTR) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Landstar System's Shares Outstanding (Entity) came in at 34.06 million, down 3.6% from FY2024.
- Annual Shares Outstanding (Entity) has declined for four consecutive years, with a four-year compound annual growth rate of -2.9% (FY2021 to FY2025).
- In prior years, Landstar System's Shares Outstanding (Entity) was 35.32 million in FY2024 (-1.1%), 35.72 million in FY2023 (-2.5%), 36.63 million in FY2022 (-4.2%) and 38.24 million in FY2021.
- Quarterly Shares Outstanding (Entity) has run from a low of 33.93 million in Q1 2026 to a high of 38.24 million in Q4 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last 11 quarters, with an average decline of 2.3% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q3 2023, with growth of 0.1%; the weakest was Q3 2022, with a decline of 5.7%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 33.93 million (Q1 2026), 34.06 million (Q4 2025) and 34.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | 594.22 Mn |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 1.84 Bn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 751.66 Mn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 869.55 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 236.58 Mn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 224.62 Mn |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 657.91 Mn |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 324.89 Mn |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | 206.64 Mn |
| 10 | Landstar System | 4.91 Bn | 3.35 Bn | 329.74 Mn | 33.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 33.71 Mn |
| Jun 27, 2026 | 33.94 Mn |
| Mar 28, 2026 | 33.93 Mn |
| Dec 27, 2025 | 34.06 Mn |
| Sep 27, 2025 | 34.34 Mn |
| Jun 28, 2025 | 34.65 Mn |
| Mar 29, 2025 | 34.95 Mn |
| Dec 28, 2024 | 35.32 Mn |
| Sep 28, 2024 | 35.33 Mn |
| Jun 29, 2024 | 35.45 Mn |
| Mar 30, 2024 | 35.76 Mn |
| Dec 30, 2023 | 35.72 Mn |
| Sep 30, 2023 | 35.95 Mn |
| Jul 1, 2023 | 35.95 Mn |
| Apr 1, 2023 | 35.93 Mn |
| Dec 31, 2022 | 36.63 Mn |
| Sep 24, 2022 | 35.93 Mn |
| Jun 25, 2022 | 49.60 Mn |
| Mar 26, 2022 | 49.41 Mn |
| Dec 25, 2021 | 38.24 Mn |
Landstar System Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();