Heartland Express (HTLD) Other Accumulated Expenses (2009 - 2026)
Heartland Express (HTLD) posted Other Accumulated Expenses of $9.52 million for Q3 2019, down 19.4% from $11.81 million a year earlier and down 9.1% from the prior quarter.
Heartland Express (HTLD) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2018, Heartland Express' Other Accumulated Expenses came in at $9.45 million, down 26.4% from FY2017.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -5.6% (FY2013 to FY2018).
- In prior years, Heartland Express' Other Accumulated Expenses was $12.84 million in FY2017 (+19.7%), $10.73 million in FY2016 (-13.8%), $12.44 million in FY2015 (-14.0%) and $14.48 million in FY2014 (+14.6%).
- Quarterly Other Accumulated Expenses has run from a low of $9.45 million in Q4 2018 to a high of $14.48 million in Q4 2014 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last five quarters, with an average decline of 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2017, with growth of 19.7%; the weakest was Q4 2018, with a decline of 26.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $10.47 million (Q2 2019), $11.55 million (Q1 2019) and $9.45 million (Q4 2018).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.19 Mn |
| Jun 30, 2026 | 14.69 Mn |
| Mar 31, 2026 | 13.98 Mn |
| Dec 31, 2025 | 13.14 Mn |
| Sep 30, 2025 | 17.76 Mn |
| Jun 30, 2025 | 21.47 Mn |
| Mar 31, 2025 | 23.06 Mn |
| Dec 31, 2024 | 18.51 Mn |
| Sep 30, 2024 | 23.73 Mn |
| Jun 30, 2024 | 24.06 Mn |
| Mar 31, 2024 | 21.15 Mn |
| Dec 31, 2023 | 17.14 Mn |
| Sep 30, 2023 | 19.22 Mn |
| Jun 30, 2023 | 17.19 Mn |
| Mar 31, 2023 | 16.09 Mn |
| Dec 31, 2022 | 18.64 Mn |
| Sep 30, 2022 | 18.65 Mn |
| Jun 30, 2022 | 16.41 Mn |
| Mar 31, 2022 | 14.39 Mn |
| Dec 31, 2021 | 13.97 Mn |
Heartland Express Other 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=other-accumulated-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=HTLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();