Heartland Express (HTLD) Total Current Liabilities (2009 - 2026)
Heartland Express (HTLD) reported Total Current Liabilities of $200.84 million for Q3 2026, up 65.4% from $121.44 million a year earlier and up 71.3% from the prior quarter.
Heartland Express (HTLD) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Heartland Express posted Total Current Liabilities of $110.16 million, down 7.9% from FY2024.
- Total Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $119.56 million in FY2024 (-3.2%), $123.48 million in FY2023 (-21.2%), $156.76 million in FY2022 (+119.0%) and $71.59 million in FY2021 (+0.8%).
- The Q3 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2009.
- Year over year, Total Current Liabilities gained in three of the last eight quarters, with growth averaging 3.5%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2022 (growth of 119.0%); the low point was Q1 2026 (a decline of 27.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $117.23 million (Q2 2026), $112.56 million (Q1 2026) and $110.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 179.72 Bn | 171.97 Bn | - | 5.61 Bn |
| 2 | Csx | 95.95 Bn | 91.18 Bn | - | 4.31 Bn |
| 3 | United Parcel Service | 84.51 Bn | 61.36 Bn | 22.04 Bn | 15.58 Bn |
| 4 | Canadian Pacific Kansas City | 81.84 Bn | 81.57 Bn | 57.15 Mn | 4.76 Bn |
| 5 | Fedex | 76.69 Bn | 42.88 Bn | 18.84 Bn | 18.91 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 3.68 Bn |
| 7 | Delta Air Lines | 56.72 Bn | 38.90 Bn | - | 33.58 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 34.91 Bn | 1.56 Bn | 583.00 Mn |
| 9 | United Airlines Holdings | 35.51 Bn | -22.18 Bn | - | 26.64 Bn |
| 10 | Heartland Express | 808.32 Mn | 634.46 Mn | 170.22 Mn | 200.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 200.84 Mn |
| Jun 30, 2026 | 117.23 Mn |
| Mar 31, 2026 | 112.56 Mn |
| Dec 31, 2025 | 110.16 Mn |
| Sep 30, 2025 | 121.44 Mn |
| Jun 30, 2025 | 143.62 Mn |
| Mar 31, 2025 | 155.50 Mn |
| Dec 31, 2024 | 119.56 Mn |
| Sep 30, 2024 | 134.73 Mn |
| Jun 30, 2024 | 133.84 Mn |
| Mar 31, 2024 | 127.47 Mn |
| Dec 31, 2023 | 123.48 Mn |
| Sep 30, 2023 | 142.12 Mn |
| Jun 30, 2023 | 147.95 Mn |
| Mar 31, 2023 | 146.56 Mn |
| Dec 31, 2022 | 156.76 Mn |
| Sep 30, 2022 | 159.82 Mn |
| Jun 30, 2022 | 126.35 Mn |
| Mar 31, 2022 | 77.54 Mn |
| Dec 31, 2021 | 71.59 Mn |
Heartland Express Total Current 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-current-liabilities&ticker=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();