Heartland Express (HTLD) Accumulated Expenses (2009 - 2026)
Heartland Express' Accumulated Expenses was $28.76 million in Q2 2026, up 12.6% from $25.55 million a year earlier but down 5.6% 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 $13.65 million (Q3 2021) and $31.44 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for four straight quarters, with growth averaging 17.6% 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 Q3 2021 (a decline of 15.1%).
- Per Business Quant data, HTLD's Accumulated Expenses in the three quarters before Q2 2026 was $30.46 million (Q1 2026), $31.44 million (Q4 2025) and $26.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Heartland Express | 897.78 Mn | 739.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 13.65 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();