Heartland Express (HTLD) Operating Expenses (2009 - 2026)
Heartland Express (HTLD) recorded Operating Expenses of $177.21 million in Q3 2026, down 13.0% from $203.8 million a year earlier but up 5.7% from the prior quarter.
Heartland Express (HTLD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Heartland Express' Operating Expenses came in at $726.53 million as of Sep 30, 2026, down 19.5% year-over-year; for FY2025, it came in at $863.12 million, down 19.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.07 billion in FY2024 (-8.4%), $1.17 billion in FY2023 (+49.4%), $779.64 million in FY2022 (+55.3%) and $501.88 million in FY2021 (-9.1%).
- Quarterly Operating Expenses has ranged from $82.77 million in Q2 2022 to $328.76 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for 12 consecutive quarters, with an average decline of 18.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 250.3% in Q2 2023, against a decline of 34.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $167.58 million (Q2 2026), $179.55 million (Q1 2026) and $202.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 179.72 Bn | 171.97 Bn | - | 4.25 Bn |
| 2 | Csx | 95.95 Bn | 91.18 Bn | - | 2.45 Bn |
| 3 | United Parcel Service | 84.51 Bn | 61.36 Bn | 22.04 Bn | 21.11 Bn |
| 4 | Canadian Pacific Kansas City | 81.84 Bn | 81.57 Bn | 57.15 Mn | 1.95 Bn |
| 5 | Fedex | 76.69 Bn | 42.88 Bn | 18.84 Bn | 23.46 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 2.38 Bn |
| 7 | Delta Air Lines | 56.72 Bn | 38.90 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 34.91 Bn | 1.56 Bn | 1.14 Bn |
| 9 | United Airlines Holdings | 35.51 Bn | -22.18 Bn | - | 16.43 Bn |
| 10 | Heartland Express | 808.32 Mn | 634.46 Mn | 170.22 Mn | 177.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 177.21 Mn |
| Jun 30, 2026 | 167.58 Mn |
| Mar 31, 2026 | 179.55 Mn |
| Dec 31, 2025 | 202.20 Mn |
| Sep 30, 2025 | 203.80 Mn |
| Jun 30, 2025 | 222.81 Mn |
| Mar 31, 2025 | 234.32 Mn |
| Dec 31, 2024 | 241.56 Mn |
| Sep 30, 2024 | 267.00 Mn |
| Jun 30, 2024 | 274.49 Mn |
| Mar 31, 2024 | 284.70 Mn |
| Dec 31, 2023 | 264.64 Mn |
| Sep 30, 2023 | 302.47 Mn |
| Jun 30, 2023 | 289.94 Mn |
| Mar 31, 2023 | 308.03 Mn |
| Dec 31, 2022 | 328.76 Mn |
| Sep 30, 2022 | 239.23 Mn |
| Jun 30, 2022 | 82.77 Mn |
| Mar 31, 2022 | 128.88 Mn |
| Dec 31, 2021 | 121.64 Mn |
Heartland Express Operating Expenses 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=operating-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();