Hunt J B Transport Services (JBHT) Accumulated Expenses (2009 - 2026)
Hunt J B Transport Services (JBHT) reported Accumulated Expenses of $322.24 million for Q2 2026, up 15.4% from $279.22 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Hunt J B Transport Services (JBHT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Hunt J B Transport Services posted Accumulated Expenses of $310.34 million, up 20.7% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $257.12 million in FY2024 (+16.7%), $220.36 million in FY2023 (-51.3%), $452.15 million in FY2022 (+47.2%) and $307.21 million in FY2021 (+11.3%).
- Five-year quarterly Accumulated Expenses spans a low of $220.36 million in Q4 2023 and a high of $613.31 million in Q3 2024.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with an average decline of 7.6% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2023 (growth of 56.7%); the low point was Q3 2025 (a decline of 53.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $322.62 million (Q1 2026), $310.34 million (Q4 2025) and $284.71 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 | Hunt J B Transport Services | 21.04 Bn | 20.96 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 322.24 Mn |
| Mar 31, 2026 | 322.62 Mn |
| Dec 31, 2025 | 310.34 Mn |
| Sep 30, 2025 | 284.71 Mn |
| Jun 30, 2025 | 279.22 Mn |
| Mar 31, 2025 | 273.47 Mn |
| Dec 31, 2024 | 257.12 Mn |
| Sep 30, 2024 | 613.31 Mn |
| Jun 30, 2024 | 594.48 Mn |
| Mar 31, 2024 | 576.08 Mn |
| Dec 31, 2023 | 220.36 Mn |
| Sep 30, 2023 | 480.96 Mn |
| Jun 30, 2023 | 492.22 Mn |
| Mar 31, 2023 | 485.62 Mn |
| Dec 31, 2022 | 452.15 Mn |
| Sep 30, 2022 | 340.21 Mn |
| Jun 30, 2022 | 324.76 Mn |
| Mar 31, 2022 | 309.95 Mn |
| Dec 31, 2021 | 307.21 Mn |
| Sep 30, 2021 | 288.14 Mn |
API Access
Hunt J B Transport Services 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=JBHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "JBHT", "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=JBHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();