Heartland Express (HTLD) Goodwill & Intangibles (2009 - 2026)
Heartland Express' Goodwill & Intangibles came in at $389.6 million for Q2 2026, down 5.8% from $413.61 million a year earlier and down 0.3% from the prior quarter.
Heartland Express (HTLD) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Heartland Express' Goodwill & Intangibles was $392.11 million, down 5.8% from FY2024.
- Goodwill & Intangibles has declined in each of the last three years, though with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Going back by year, Goodwill & Intangibles was $416.12 million in FY2024 (-1.2%), $421.13 million in FY2023 (-0.8%), $424.38 million in FY2022 (+122.6%) and $190.65 million in FY2021 (-1.2%).
- The Q2 2026 figure represents the lowest quarterly Goodwill & Intangibles since Q2 2022.
- Year-over-year, Goodwill & Intangibles has declined for 11 consecutive quarters, with an average decline of 2.9% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in Q1 2023 (growth of 122.6%), and the weakest in Q2 2026 (a decline of 5.8%).
- Business Quant data shows HTLD's Goodwill & Intangibles at $390.86 million (Q1 2026), $392.11 million (Q4 2025) and $412.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 179.72 Bn | 171.97 Bn | - |
| 2 | Csx | 95.95 Bn | 91.18 Bn | - |
| 3 | United Parcel Service | 84.51 Bn | 61.36 Bn | 22.04 Bn |
| 4 | Canadian Pacific Kansas City | 81.84 Bn | 81.57 Bn | 57.15 Mn |
| 5 | Fedex | 76.69 Bn | 42.88 Bn | 18.84 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - |
| 7 | Delta Air Lines | 56.72 Bn | 38.90 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 34.91 Bn | 1.56 Bn |
| 9 | United Airlines Holdings | 35.51 Bn | -22.18 Bn | - |
| 10 | Heartland Express | 808.32 Mn | 634.46 Mn | 170.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 388.35 Mn |
| Jun 30, 2026 | 389.60 Mn |
| Mar 31, 2026 | 390.86 Mn |
| Dec 31, 2025 | 392.11 Mn |
| Sep 30, 2025 | 412.36 Mn |
| Jun 30, 2025 | 413.61 Mn |
| Mar 31, 2025 | 414.87 Mn |
| Dec 31, 2024 | 416.12 Mn |
| Sep 30, 2024 | 417.37 Mn |
| Jun 30, 2024 | 418.63 Mn |
| Mar 31, 2024 | 419.88 Mn |
| Dec 31, 2023 | 421.13 Mn |
| Sep 30, 2023 | 422.40 Mn |
| Jun 30, 2023 | 421.78 Mn |
| Mar 31, 2023 | 423.09 Mn |
| Dec 31, 2022 | 424.38 Mn |
| Sep 30, 2022 | 420.10 Mn |
| Jun 30, 2022 | 258.03 Mn |
| Mar 31, 2022 | 190.05 Mn |
| Dec 31, 2021 | 190.65 Mn |
Heartland Express 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=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();