Hunt J B Transport Services (JBHT) Operating Margin (2009 - 2026)
Hunt J B Transport Services' Operating Margin came in at 7.42% for Q2 2026, up 0.69 percentage points from 6.74% a year earlier and up 0.65 percentage points from the prior quarter.
Hunt J B Transport Services (JBHT) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hunt J B Transport Services reported Operating Margin of 7.52%, up 0.83 percentage points year-over-year; for FY2025, it came in at 7.21%, up 0.33 percentage points from FY2024.
- Operating Margin carries a five-year change of -0.19 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 6.88% in FY2024 (-0.86 pp), 7.74% in FY2023 (-1.25 pp), 8.99% in FY2022 (+0.40 pp) and 8.60% in FY2021 (+1.20 pp).
- The five-year range for quarterly Operating Margin is 6.12% (Q1 2025) to 9.58% (Q1 2022).
- Year-over-year, Operating Margin has increased for four consecutive quarters, with an average year-over-year change of +0.34 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2021 (a gain of 1.65 percentage points), and the weakest in Q1 2024 (a drop of 1.99 percentage points).
- Business Quant data shows JBHT's Operating Margin at 6.77% (Q1 2026), 7.96% (Q4 2025) and 7.95% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 40.25% |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 4.07% |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 32.44% |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 29.94% |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 13.12% |
| 10 | Hunt J B Transport Services | 21.53 Bn | 21.45 Bn | - | 7.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.42% |
| Mar 31, 2026 | 6.77% |
| Dec 31, 2025 | 7.96% |
| Sep 30, 2025 | 7.95% |
| Jun 30, 2025 | 6.74% |
| Mar 31, 2025 | 6.12% |
| Dec 31, 2024 | 6.58% |
| Sep 30, 2024 | 7.30% |
| Jun 30, 2024 | 7.02% |
| Mar 31, 2024 | 6.60% |
| Dec 31, 2023 | 6.15% |
| Sep 30, 2023 | 7.64% |
| Jun 30, 2023 | 8.64% |
| Mar 31, 2023 | 8.59% |
| Dec 31, 2022 | 7.74% |
| Sep 30, 2022 | 9.44% |
| Jun 30, 2022 | 9.20% |
| Mar 31, 2022 | 9.58% |
| Dec 31, 2021 | 9.24% |
| Sep 30, 2021 | 8.71% |
Hunt J B Transport Services Operating Margin 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=operating-margin&ticker=JBHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=JBHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();