Hub (HUBG) Goodwill & Intangibles (2009 - 2025)
Hub (HUBG) posted Goodwill & Intangibles of $1.1 billion for Q3 2025, up 0.63% on a QoQ basis from $1.1 billion in Q2 2025, and up 5.66% year-over-year from $1.0 billion in Q3 2024.
Hub (HUBG) Goodwill & Intangibles (2009 - 2025) Analysis & Trends
Hub has reported Goodwill & Intangibles for 17 years, with the latest figure at $1.1 billion in Q3 2025.
- On a quarterly basis, Goodwill & Intangibles rose 5.66% year-over-year to $1.1 billion in Q3 2025; TTM through Sep 2025 was $1.1 billion, a 5.66% increase from a year earlier, with the FY2024 full-year figure at $1.1 billion, up 164.53% from the prior year.
- Goodwill & Intangibles was $1.1 billion for Q3 2025 at Hub, up from $1.1 billion in the prior quarter.
- The five-year high for Goodwill & Intangibles was $1.1 billion in Q4 2024, with the low at $408.9 million in Q4 2023.
- Average Goodwill & Intangibles over 5 years is $850.8 million, with a median of $819.6 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2024: Goodwill & Intangibles tumbled 50.54% in 2023, then surged 164.53% in 2024.
- Over 5 years, Goodwill & Intangibles stood at $773.6 million in 2021, then rose by 6.88% to $826.8 million in 2022, then sank by 50.54% to $408.9 million in 2023, then soared by 164.53% to $1.1 billion in 2024, then retreated by 1.07% to $1.1 billion in 2025.
- The last three Goodwill & Intangibles figures came in at $1.1 billion (Q3 2025), $1.1 billion (Q2 2025), and $1.1 billion (Q1 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.07 Bn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 1.02 Bn |
| Mar 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 408.90 Mn |
| Sep 30, 2023 | 806.80 Mn |
| Jun 30, 2023 | 813.04 Mn |
| Mar 31, 2023 | 819.64 Mn |
| Dec 31, 2022 | 826.79 Mn |
| Sep 30, 2022 | 832.62 Mn |
| Jun 30, 2022 | 761.22 Mn |
| Mar 31, 2022 | 767.10 Mn |
| Dec 31, 2021 | 773.59 Mn |
| Sep 30, 2021 | 664.95 Mn |
| Jun 30, 2021 | 669.08 Mn |
| Mar 31, 2021 | 671.45 Mn |
| Dec 31, 2020 | 672.51 Mn |
Hub Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=HUBG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=HUBG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();