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.
Powered by 
Analysis
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 9.0% year-over-year; for FY2025, it came in at $101.96 million, down 37.2% from FY2024.
- EBITDA has now declined for three consecutive years, with a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- In earlier years, EBITDA was $162.34 million in FY2024 (-33.1%), $242.49 million in FY2023 (-24.6%), $321.77 million in FY2022 (+53.5%) 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 11.7%.
- 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 67.9%).
- 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 179.72 Bn | 171.97 Bn | - | 3.59 Bn |
| 2 | Csx | 95.95 Bn | 91.18 Bn | - | 1.98 Bn |
| 3 | United Parcel Service | 84.51 Bn | 61.36 Bn | 22.04 Bn | 2.71 Bn |
| 4 | Canadian Pacific Kansas City | 81.84 Bn | 81.57 Bn | 57.15 Mn | 1.44 Bn |
| 5 | Fedex | 76.69 Bn | 42.88 Bn | 18.84 Bn | 2.68 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 1.51 Bn |
| 7 | Delta Air Lines | 56.72 Bn | 38.90 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 34.91 Bn | 1.56 Bn | 543.07 Mn |
| 9 | United Airlines Holdings | 35.51 Bn | -22.18 Bn | - | 2.22 Bn |
| 10 | Heartland Express | 808.32 Mn | 634.46 Mn | 170.22 Mn | 33.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.26 Mn |
| 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 | 26.91 Mn |
| Dec 31, 2024 | 45.21 Mn |
| Sep 30, 2024 | 38.08 Mn |
| Jun 30, 2024 | 46.66 Mn |
| Mar 31, 2024 | 32.38 Mn |
| Dec 31, 2023 | 62.09 Mn |
| Sep 30, 2023 | 43.94 Mn |
| Jun 30, 2023 | 64.84 Mn |
| Mar 31, 2023 | 71.63 Mn |
| Dec 31, 2022 | 77.08 Mn |
| Sep 30, 2022 | 69.62 Mn |
| Jun 30, 2022 | 129.36 Mn |
| Mar 31, 2022 | 45.71 Mn |
| Dec 31, 2021 | 52.45 Mn |
API Access
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_KEYimport 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();