Hunt J B Transport Services (JBHT) Cash & Equivalents (2009 - 2026)
Hunt J B Transport Services (JBHT) recorded Cash & Equivalents of $4.16 million in Q2 2026, down 91.8% from $50.9 million a year earlier and down 8.8% from the prior quarter.
Hunt J B Transport Services (JBHT) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Hunt J B Transport Services reported Cash & Equivalents of $17.28 million, down 63.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -44.0% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $46.98 million in FY2024 (-11.9%), $53.34 million in FY2023 (+2.7%), $51.93 million in FY2022 (-85.4%) and $355.55 million in FY2021 (+13.5%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q2 2009.
- On a year-over-year basis, Cash & Equivalents has declined for seven consecutive quarters, with an average decline of 36.3% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 139.0% in Q2 2023, against a decline of 91.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.56 million (Q1 2026), $17.28 million (Q4 2025) and $52.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 1.61 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 264.59 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 1.07 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.65 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 10.17 Bn |
| 10 | Hunt J B Transport Services | 21.99 Bn | 21.92 Bn | - | 4.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.16 Mn |
| Mar 31, 2026 | 4.56 Mn |
| Dec 31, 2025 | 17.28 Mn |
| Sep 30, 2025 | 52.29 Mn |
| Jun 30, 2025 | 50.90 Mn |
| Mar 31, 2025 | 43.41 Mn |
| Dec 31, 2024 | 46.98 Mn |
| Sep 30, 2024 | 120.00 Mn |
| Jun 30, 2024 | 53.51 Mn |
| Mar 31, 2024 | 64.19 Mn |
| Dec 31, 2023 | 53.34 Mn |
| Sep 30, 2023 | 75.20 Mn |
| Jun 30, 2023 | 295.93 Mn |
| Mar 31, 2023 | 52.60 Mn |
| Dec 31, 2022 | 51.93 Mn |
| Sep 30, 2022 | 84.33 Mn |
| Jun 30, 2022 | 123.84 Mn |
| Mar 31, 2022 | 144.53 Mn |
| Dec 31, 2021 | 355.55 Mn |
| Sep 30, 2021 | 529.60 Mn |
Hunt J B Transport Services Cash & Equivalents 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=cash-and-equivalents&ticker=JBHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JBHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();