Heartland Express (HTLD) EBITDA (2009 - 2026)
Heartland Express' EBITDA was $48.85 million in Q2 2026, up 68.2% from $29.04 million a year earlier and up 53.3% from the prior quarter.
Heartland Express (HTLD) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Heartland Express' EBITDA was $126.73 million through Jun 30, 2026, down 8.5% year-over-year; for FY2025, it came in at $101.79 million, down 36.9% from FY2024.
- EBITDA has now declined for three consecutive years, with a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- In earlier years, EBITDA was $161.29 million in FY2024 (-33.2%), $241.42 million in FY2023 (-24.9%), $321.41 million in FY2022 (+53.3%) and $209.64 million in FY2021 (+2.9%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q4 2023.
- Compared with a year earlier, EBITDA was higher in two of the last eight quarters, with an average decline of 11.5%.
- The best year-over-year quarter for EBITDA over five years was Q2 2022 (growth of 142.5%); the worst was Q4 2025 (a decline of 67.7%).
- Per Business Quant data, HTLD's EBITDA in the three quarters before Q2 2026 was $31.86 million (Q1 2026), $14.52 million (Q4 2025) and $31.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.40 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Heartland Express | 884.63 Mn | 726.59 Mn | - | 48.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.85 Mn |
| Mar 31, 2026 | 31.86 Mn |
| Dec 31, 2025 | 14.52 Mn |
| Sep 30, 2025 | 31.49 Mn |
| Jun 30, 2025 | 29.04 Mn |
| Mar 31, 2025 | 26.73 Mn |
| Dec 31, 2024 | 44.95 Mn |
| Sep 30, 2024 | 37.82 Mn |
| Jun 30, 2024 | 46.40 Mn |
| Mar 31, 2024 | 32.12 Mn |
| Dec 31, 2023 | 61.83 Mn |
| Sep 30, 2023 | 43.67 Mn |
| Jun 30, 2023 | 64.57 Mn |
| Mar 31, 2023 | 71.36 Mn |
| Dec 31, 2022 | 76.81 Mn |
| Sep 30, 2022 | 69.53 Mn |
| Jun 30, 2022 | 129.36 Mn |
| Mar 31, 2022 | 45.71 Mn |
| Dec 31, 2021 | 52.45 Mn |
| Sep 30, 2021 | 58.58 Mn |
Heartland Express EBITDA 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=ebitda&ticker=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();