Heartland Express (HTLD) Land & Improvements (2009 - 2026)
Heartland Express (HTLD) posted Land & Improvements of $100.27 million for Q2 2026, down 16.6% from $120.29 million a year earlier and down 14.0% from the prior quarter.
Heartland Express (HTLD) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025, Heartland Express' Land & Improvements came in at $119.82 million, down 0.5% from FY2024.
- Annual Land & Improvements shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, Heartland Express' Land & Improvements was $120.39 million in FY2024 (+1.4%), $118.68 million in FY2023 (+26.0%), $94.16 million in FY2022 (+4.4%) and $90.22 million in FY2021 (+16.4%).
- The Q2 2026 figure stands as the lowest quarterly Land & Improvements since Q1 2023.
- On a year-over-year basis, Land & Improvements has declined in each of the last three quarters, with growth averaging 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Land & Improvements in the past five years was Q2 2023, with growth of 40.6%; the weakest was Q2 2026, with a decline of 16.6%.
- According to Business Quant data, Land & Improvements for the three prior quarters was $116.65 million (Q1 2026), $119.82 million (Q4 2025) and $120.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 3.57 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | - |
| 10 | Heartland Express | 897.78 Mn | 739.74 Mn | - | 100.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.27 Mn |
| Mar 31, 2026 | 116.65 Mn |
| Dec 31, 2025 | 119.82 Mn |
| Sep 30, 2025 | 120.16 Mn |
| Jun 30, 2025 | 120.29 Mn |
| Mar 31, 2025 | 120.38 Mn |
| Dec 31, 2024 | 120.39 Mn |
| Sep 30, 2024 | 119.18 Mn |
| Jun 30, 2024 | 119.22 Mn |
| Mar 31, 2024 | 118.69 Mn |
| Dec 31, 2023 | 118.68 Mn |
| Sep 30, 2023 | 102.22 Mn |
| Jun 30, 2023 | 100.47 Mn |
| Mar 31, 2023 | 94.54 Mn |
| Dec 31, 2022 | 94.16 Mn |
| Sep 30, 2022 | 93.34 Mn |
| Jun 30, 2022 | 71.46 Mn |
| Mar 31, 2022 | 90.79 Mn |
| Dec 31, 2021 | 90.22 Mn |
| Sep 30, 2021 | 83.70 Mn |
Heartland Express Land & Improvements 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=land-and-improvements&ticker=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "HTLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();