Hub (HUBG) Cash & Equivalents (2009 - 2025)
Hub (HUBG) posted Cash & Equivalents of $119.7 million for Q3 2025, down 12.66% on a QoQ basis from $137.0 million in Q2 2025, and down 35.69% year-over-year from $186.1 million in Q3 2024.
Hub (HUBG) Cash & Equivalents (2009 - 2025) Analysis & Trends
Hub has reported Cash & Equivalents for 17 years, with the latest figure at $119.7 million in Q3 2025.
- On a quarterly basis, Cash & Equivalents fell 35.69% year-over-year to $119.7 million in Q3 2025; TTM through Sep 2025 was $119.7 million, a 35.69% decrease from a year earlier, with the FY2024 full-year figure at $98.2 million, down 47.54% from the prior year.
- Cash & Equivalents was $119.7 million for Q3 2025 at Hub, down from $137.0 million in the prior quarter.
- The five-year high for Cash & Equivalents was $400.7 million in Q3 2023, with the low at $98.2 million in Q4 2024.
- Average Cash & Equivalents over 5 years is $221.5 million, with a median of $211.9 million recorded in 2022.
- The sharpest annual moves came in 2023 and 2024: Cash & Equivalents soared 89.07% in 2023, then tumbled 53.54% in 2024.
- Over 5 years, Cash & Equivalents stood at $159.8 million in 2021, then soared by 79.39% to $286.6 million in 2022, then slumped by 34.67% to $187.3 million in 2023, then slumped by 47.54% to $98.2 million in 2024, then grew by 21.83% to $119.7 million in 2025.
- The last three Cash & Equivalents figures came in at $119.7 million (Q3 2025), $137.0 million (Q2 2025), and $112.7 million (Q1 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 3.35 Bn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | 1.03 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | 154.59 Mn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 524.90 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 219.00 Mn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 294.35 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 769.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 15.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 119.70 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 269.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 119.70 Mn |
| Jun 30, 2025 | 137.05 Mn |
| Mar 31, 2025 | 112.67 Mn |
| Dec 31, 2024 | 98.25 Mn |
| Sep 30, 2024 | 186.14 Mn |
| Jun 30, 2024 | 220.25 Mn |
| Mar 31, 2024 | 195.36 Mn |
| Dec 31, 2023 | 187.27 Mn |
| Sep 30, 2023 | 400.69 Mn |
| Jun 30, 2023 | 342.43 Mn |
| Mar 31, 2023 | 342.57 Mn |
| Dec 31, 2022 | 286.64 Mn |
| Sep 30, 2022 | 211.92 Mn |
| Jun 30, 2022 | 298.48 Mn |
| Mar 31, 2022 | 206.90 Mn |
| Dec 31, 2021 | 159.78 Mn |
| Sep 30, 2021 | 230.66 Mn |
| Jun 30, 2021 | 246.02 Mn |
| Mar 31, 2021 | 226.26 Mn |
| Dec 31, 2020 | 124.51 Mn |
Hub 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=HUBG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "HUBG", "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=HUBG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();