Heartland Express (HTLD) Accumulated Expenses (2009 - 2026)
Heartland Express' Accumulated Expenses was $29.58 million in Q3 2026, up 12.6% from $26.27 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Heartland Express (HTLD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Heartland Express came in at $31.44 million, up 33.7% from FY2024.
- Accumulated Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $23.52 million in FY2024 (+9.4%), $21.51 million in FY2023 (+16.3%), $18.49 million in FY2022 (+17.9%) and $15.68 million in FY2021 (-1.0%).
- Quarterly Accumulated Expenses has moved between $15.25 million (Q1 2022) and $31.44 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 12.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2024 (growth of 53.0%); the worst was Q1 2022 (a decline of 1.5%).
- Per Business Quant data, HTLD's Accumulated Expenses in the three quarters before Q3 2026 was $28.76 million (Q2 2026), $30.46 million (Q1 2026) and $31.44 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.58 Mn |
| Jun 30, 2026 | 28.76 Mn |
| Mar 31, 2026 | 30.46 Mn |
| Dec 31, 2025 | 31.44 Mn |
| Sep 30, 2025 | 26.27 Mn |
| Jun 30, 2025 | 25.55 Mn |
| Mar 31, 2025 | 24.51 Mn |
| Dec 31, 2024 | 23.52 Mn |
| Sep 30, 2024 | 24.56 Mn |
| Jun 30, 2024 | 25.68 Mn |
| Mar 31, 2024 | 24.15 Mn |
| Dec 31, 2023 | 21.51 Mn |
| Sep 30, 2023 | 16.06 Mn |
| Jun 30, 2023 | 17.41 Mn |
| Mar 31, 2023 | 17.64 Mn |
| Dec 31, 2022 | 18.49 Mn |
| Sep 30, 2022 | 16.03 Mn |
| Jun 30, 2022 | 15.86 Mn |
| Mar 31, 2022 | 15.25 Mn |
| Dec 31, 2021 | 15.68 Mn |
API Access
Heartland Express Accumulated 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=accumulated-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();