Hunt J B Transport Services (JBHT) Total Non-Current Liabilities (2009 - 2026)
Hunt J B Transport Services' Total Non-Current Liabilities was $3.8 billion in Q2 2026, down 8.9% from $4.17 billion a year earlier and down 1.4% from the prior quarter.
Hunt J B Transport Services (JBHT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Hunt J B Transport Services came in at $3.92 billion, down 0.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.92 billion in FY2024 (-4.2%), $4.09 billion in FY2023 (+9.1%), $3.75 billion in FY2022 (+9.7%) and $3.42 billion in FY2021 (+11.0%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2023.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 11.2%); the worst was Q2 2026 (a decline of 8.9%).
- Per Business Quant data, JBHT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.86 billion (Q1 2026), $3.92 billion (Q4 2025) and $4.12 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 48.79 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 27.16 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Hunt J B Transport Services | 21.53 Bn | 21.45 Bn | - | 3.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.80 Bn |
| Mar 31, 2026 | 3.86 Bn |
| Dec 31, 2025 | 3.92 Bn |
| Sep 30, 2025 | 4.12 Bn |
| Jun 30, 2025 | 4.17 Bn |
| Mar 31, 2025 | 3.98 Bn |
| Dec 31, 2024 | 3.92 Bn |
| Sep 30, 2024 | 3.94 Bn |
| Jun 30, 2024 | 3.95 Bn |
| Mar 31, 2024 | 3.86 Bn |
| Dec 31, 2023 | 4.09 Bn |
| Sep 30, 2023 | 3.96 Bn |
| Jun 30, 2023 | 3.94 Bn |
| Mar 31, 2023 | 3.62 Bn |
| Dec 31, 2022 | 3.75 Bn |
| Sep 30, 2022 | 3.58 Bn |
| Jun 30, 2022 | 3.63 Bn |
| Mar 31, 2022 | 3.48 Bn |
| Dec 31, 2021 | 3.42 Bn |
| Sep 30, 2021 | 3.32 Bn |
Hunt J B Transport Services Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JBHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JBHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();