Heartland Express (HTLD) Cash & Equivalents (2009 - 2026)
Heartland Express (HTLD) reported Cash & Equivalents of $48.5 million for Q3 2026, up 48.4% from $32.69 million a year earlier but down 22.3% from the prior quarter.
Heartland Express (HTLD) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Heartland Express posted Cash & Equivalents of $18.48 million, up 44.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -30.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $12.81 million in FY2024 (-54.4%), $28.12 million in FY2023 (-43.1%), $49.46 million in FY2022 (-68.6%) and $157.74 million in FY2021 (+38.6%).
- Five-year quarterly Cash & Equivalents spans a low of $12.81 million in Q4 2024 and a high of $187.09 million in Q1 2022.
- Year over year, Cash & Equivalents has now increased in each of the last five quarters, with growth averaging 37.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 172.7%); the low point was Q2 2023 (a decline of 73.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $62.39 million (Q2 2026), $44.49 million (Q1 2026) and $18.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 179.72 Bn | 171.97 Bn | - | 2.21 Bn |
| 2 | Csx | 95.95 Bn | 91.18 Bn | - | 1.22 Bn |
| 3 | United Parcel Service | 84.51 Bn | 61.36 Bn | 22.04 Bn | 6.84 Bn |
| 4 | Canadian Pacific Kansas City | 81.84 Bn | 81.57 Bn | 57.15 Mn | 281.16 Mn |
| 5 | Fedex | 76.69 Bn | 42.88 Bn | 18.84 Bn | 13.06 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 56.72 Bn | 38.90 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 34.91 Bn | 1.56 Bn | 466.22 Mn |
| 9 | United Airlines Holdings | 35.51 Bn | -22.18 Bn | - | 6.65 Bn |
| 10 | Heartland Express | 808.32 Mn | 634.46 Mn | 170.22 Mn | 48.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.50 Mn |
| Jun 30, 2026 | 62.39 Mn |
| Mar 31, 2026 | 44.49 Mn |
| Dec 31, 2025 | 18.48 Mn |
| Sep 30, 2025 | 32.69 Mn |
| Jun 30, 2025 | 22.88 Mn |
| Mar 31, 2025 | 23.87 Mn |
| Dec 31, 2024 | 12.81 Mn |
| Sep 30, 2024 | 30.74 Mn |
| Jun 30, 2024 | 23.86 Mn |
| Mar 31, 2024 | 23.82 Mn |
| Dec 31, 2023 | 28.12 Mn |
| Sep 30, 2023 | 20.10 Mn |
| Jun 30, 2023 | 46.25 Mn |
| Mar 31, 2023 | 55.51 Mn |
| Dec 31, 2022 | 49.46 Mn |
| Sep 30, 2022 | 64.82 Mn |
| Jun 30, 2022 | 171.88 Mn |
| Mar 31, 2022 | 187.09 Mn |
| Dec 31, 2021 | 157.74 Mn |
Heartland Express Cash & Equivalents 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=cash-and-equivalents&ticker=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();