Landstar System (LSTR) Notes Payables (2009 - 2026)
Landstar System's Short-Term Borrowings was $68.71 million in Q3 2026, up 43.2% from $47.99 million a year earlier but down 4.4% from the prior quarter.
Landstar System (LSTR) Notes Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Short-Term Borrowings at Landstar System came in at $56.65 million, down 7.2% from FY2024.
- Short-Term Borrowings has now declined for four consecutive years, with a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- In earlier years, Short-Term Borrowings was $61.03 million in FY2024 (-0.8%), $61.54 million in FY2023 (-33.8%), $92.95 million in FY2022 (-20.2%) and $116.48 million in FY2021 (+55.8%).
- Quarterly Short-Term Borrowings has moved between $47.99 million (Q3 2025) and $116.48 million (Q4 2021) over five years.
- Compared with a year earlier, Short-Term Borrowings was higher in three of the last eight quarters, with growth averaging 7.4%.
- The best year-over-year quarter for Short-Term Borrowings over five years was Q2 2022 (growth of 61.0%); the worst was Q3 2023 (a decline of 50.8%).
- Per Business Quant data, LSTR's Short-Term Borrowings in the three quarters before Q3 2026 was $71.85 million (Q2 2026), $54.43 million (Q1 2026) and $56.65 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn |
| 10 | Landstar System | 4.91 Bn | 3.35 Bn | 329.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 68.71 Mn |
| Jun 27, 2026 | 71.85 Mn |
| Mar 28, 2026 | 54.43 Mn |
| Dec 27, 2025 | 56.65 Mn |
| Sep 27, 2025 | 47.99 Mn |
| Jun 28, 2025 | 58.14 Mn |
| Mar 29, 2025 | 59.36 Mn |
| Dec 28, 2024 | 61.03 Mn |
| Sep 28, 2024 | 50.75 Mn |
| Jun 29, 2024 | 58.36 Mn |
| Mar 30, 2024 | 51.67 Mn |
| Dec 30, 2023 | 61.54 Mn |
| Sep 30, 2023 | 48.07 Mn |
| Jul 1, 2023 | 57.22 Mn |
| Apr 1, 2023 | 66.20 Mn |
| Dec 31, 2022 | 92.95 Mn |
| Sep 24, 2022 | 97.69 Mn |
| Jun 25, 2022 | 113.60 Mn |
| Mar 26, 2022 | 96.22 Mn |
| Dec 25, 2021 | 116.48 Mn |
Landstar System Notes Payables 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=notes-payables&ticker=LSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=LSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();