Hunt J B Transport Services (JBHT) EBITDA (2009 - 2026)
Hunt J B Transport Services' EBITDA was $440.11 million in Q2 2026, up 17.6% from $374.28 million a year earlier and up 13.9% from the prior quarter.
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Analysis
Hunt J B Transport Services (JBHT) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hunt J B Transport Services' EBITDA was $1.67 billion through Jun 30, 2026, up 7.5% year-over-year; for FY2025, it was $1.58 billion, down 0.8% from FY2024.
- EBITDA has now declined for three consecutive years, though with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.59 billion in FY2024 (-8.0%), $1.73 billion in FY2023 (-12.4%), $1.98 billion in FY2022 (+23.3%) and $1.6 billion in FY2021 (+29.2%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q2 2023.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 2.7% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2022 (growth of 39.9%); the worst was Q3 2023 (a decline of 18.8%).
- Per Business Quant data, JBHT's EBITDA in the three quarters before Q2 2026 was $386.46 million (Q1 2026), $425.66 million (Q4 2025) and $421.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 3.40 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 1.92 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 1.44 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 1.91 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 1.48 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 2.52 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 557.01 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 1.15 Bn |
| 10 | Hunt J B Transport Services | 21.53 Bn | 21.45 Bn | - | 440.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 440.11 Mn |
| Mar 31, 2026 | 386.46 Mn |
| Dec 31, 2025 | 425.66 Mn |
| Sep 30, 2025 | 421.83 Mn |
| Jun 30, 2025 | 374.28 Mn |
| Mar 31, 2025 | 358.18 Mn |
| Dec 31, 2024 | 412.53 Mn |
| Sep 30, 2024 | 412.09 Mn |
| Jun 30, 2024 | 390.37 Mn |
| Mar 31, 2024 | 377.40 Mn |
| Dec 31, 2023 | 397.73 Mn |
| Sep 30, 2023 | 429.43 Mn |
| Jun 30, 2023 | 450.68 Mn |
| Mar 31, 2023 | 453.31 Mn |
| Dec 31, 2022 | 454.00 Mn |
| Sep 30, 2022 | 528.81 Mn |
| Jun 30, 2022 | 510.67 Mn |
| Mar 31, 2022 | 483.06 Mn |
| Dec 31, 2021 | 464.23 Mn |
| Sep 30, 2021 | 412.75 Mn |
API Access
Hunt J B Transport Services EBITDA 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=ebitda&ticker=JBHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=JBHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();