Heartland Express (HTLD) Other Operating Expenses (2009 - 2026)
Heartland Express' Other Operating Expenses came in at $66.14 million for Q2 2026, down 29.8% from $94.18 million a year earlier and down 12.2% from the prior quarter.
Heartland Express (HTLD) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Heartland Express reported Other Operating Expenses of $322.56 million, down 21.0% year-over-year; for FY2025, it came in at $355.77 million, down 22.4% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $458.48 million in FY2024 (-6.7%), $491.23 million in FY2023 (+63.6%), $300.32 million in FY2022 (+103.2%) and $147.76 million in FY2021 (-14.3%).
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q2 2022.
- Year-over-year, Other Operating Expenses has declined for 11 consecutive quarters, with an average decline of 17.5% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2022 (growth of 325.7%), and the weakest in Q4 2023 (a decline of 34.1%).
- Business Quant data shows HTLD's Other Operating Expenses at $75.3 million (Q1 2026), $93.32 million (Q4 2025) and $87.8 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 | 8.36 Mn |
| Jun 30, 2026 | 9.54 Mn |
| Mar 31, 2026 | 9.22 Mn |
| Dec 31, 2025 | 10.16 Mn |
| Sep 30, 2025 | 10.97 Mn |
| Jun 30, 2025 | 11.69 Mn |
| Mar 31, 2025 | 12.84 Mn |
| Dec 31, 2024 | 13.58 Mn |
| Sep 30, 2024 | 14.54 Mn |
| Jun 30, 2024 | 13.43 Mn |
| Mar 31, 2024 | 15.63 Mn |
| Dec 31, 2023 | 14.95 Mn |
| Sep 30, 2023 | 17.19 Mn |
| Jun 30, 2023 | 16.36 Mn |
| Mar 31, 2023 | 17.89 Mn |
| Dec 31, 2022 | 19.27 Mn |
| Sep 30, 2022 | 14.11 Mn |
| Jun 30, 2022 | 12.24 Mn |
| Mar 31, 2022 | 5.80 Mn |
| Dec 31, 2021 | 5.23 Mn |
Heartland Express Other 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=other-operating-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();