Hunt J B Transport Services (JBHT) Other Operating Expenses (2009 - 2026)
Hunt J B Transport Services' Other Operating Expenses came in at $3.17 billion for Q2 2026, up 19.4% from $2.66 billion a year earlier and up 13.7% from the prior quarter.
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Analysis
Hunt J B Transport Services (JBHT) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hunt J B Transport Services reported Other Operating Expenses of $11.48 billion, up 4.8% year-over-year; for FY2025, it came in at $10.85 billion, down 0.9% from FY2024.
- Other Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $10.95 billion in FY2024 (-5.3%), $11.56 billion in FY2023 (-12.8%), $13.27 billion in FY2022 (+21.4%) and $10.93 billion in FY2021 (+25.0%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q4 2022.
- Year-over-year, Other Operating Expenses increased in three of the last eight quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2022 (growth of 31.8%), and the weakest in Q2 2023 (a decline of 18.2%).
- Business Quant data shows JBHT's Other Operating Expenses at $2.79 billion (Q1 2026), $2.79 billion (Q4 2025) and $2.74 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - |
| 10 | Hunt J B Transport Services | 21.51 Bn | 21.43 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.17 Bn |
| Mar 31, 2026 | 2.79 Bn |
| Dec 31, 2025 | 2.79 Bn |
| Sep 30, 2025 | 2.74 Bn |
| Jun 30, 2025 | 2.66 Bn |
| Mar 31, 2025 | 2.67 Bn |
| Dec 31, 2024 | 2.86 Bn |
| Sep 30, 2024 | 2.77 Bn |
| Jun 30, 2024 | 2.65 Bn |
| Mar 31, 2024 | 2.67 Bn |
| Dec 31, 2023 | 3.02 Bn |
| Sep 30, 2023 | 2.85 Bn |
| Jun 30, 2023 | 2.80 Bn |
| Mar 31, 2023 | 2.89 Bn |
| Dec 31, 2022 | 3.31 Bn |
| Sep 30, 2022 | 3.41 Bn |
| Jun 30, 2022 | 3.42 Bn |
| Mar 31, 2022 | 3.12 Bn |
| Dec 31, 2021 | 3.12 Bn |
| Sep 30, 2021 | 2.82 Bn |
API Access
Hunt J B Transport Services Other Operating 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-operating-expenses&ticker=JBHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=JBHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();