Heartland Express (HTLD) Total Liabilities (2009 - 2026)
Heartland Express' Total Liabilities came in at $418.51 million for Q2 2026, down 18.4% from $512.64 million a year earlier and down 3.1% from the prior quarter.
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Analysis
Heartland Express (HTLD) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Heartland Express' Total Liabilities was $436.3 million, down 14.7% from FY2024.
- Total Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $511.59 million in FY2024 (-20.6%), $644.39 million in FY2023 (-20.8%), $814.01 million in FY2022 (+304.1%) and $201.44 million in FY2021 (-11.2%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2022.
- Year-over-year, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 16.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 304.1%), and the weakest in Q3 2024 (a decline of 25.0%).
- Business Quant data shows HTLD's Total Liabilities at $431.89 million (Q1 2026), $436.3 million (Q4 2025) and $481.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Heartland Express | 884.63 Mn | 726.59 Mn | - | 418.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 418.51 Mn |
| Mar 31, 2026 | 431.89 Mn |
| Dec 31, 2025 | 436.30 Mn |
| Sep 30, 2025 | 481.99 Mn |
| Jun 30, 2025 | 512.64 Mn |
| Mar 31, 2025 | 536.99 Mn |
| Dec 31, 2024 | 511.59 Mn |
| Sep 30, 2024 | 535.70 Mn |
| Jun 30, 2024 | 576.67 Mn |
| Mar 31, 2024 | 603.70 Mn |
| Dec 31, 2023 | 644.39 Mn |
| Sep 30, 2023 | 714.39 Mn |
| Jun 30, 2023 | 723.73 Mn |
| Mar 31, 2023 | 745.89 Mn |
| Dec 31, 2022 | 814.01 Mn |
| Sep 30, 2022 | 860.70 Mn |
| Jun 30, 2022 | 295.30 Mn |
| Mar 31, 2022 | 204.59 Mn |
| Dec 31, 2021 | 201.44 Mn |
| Sep 30, 2021 | 249.46 Mn |
API Access
Heartland Express Total Liabilities 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=total-liabilities&ticker=HTLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();