Hub (HUBG) Retained Earnings (2009 - 2025)
Hub (HUBG) posted Retained Earnings of $2.1 billion for Q3 2025, up 1.02% on a QoQ basis from $2.1 billion in Q2 2025, and up 3.72% year-over-year from $2.0 billion in Q3 2024.
Hub (HUBG) Retained Earnings (2009 - 2025) Analysis & Trends
Hub has reported Retained Earnings for 17 years, with the latest figure at $2.1 billion in Q3 2025.
- On a quarterly basis, Retained Earnings rose 3.72% year-over-year to $2.1 billion in Q3 2025; TTM through Sep 2025 was $2.1 billion, a 3.72% increase from a year earlier, with the FY2024 full-year figure at $2.0 billion, up 3.75% from the prior year.
- Retained Earnings was $2.1 billion for Q3 2025 at Hub, up from $2.1 billion in the prior quarter.
- The five-year high for Retained Earnings was $2.1 billion in Q3 2025, with the low at $1.3 billion in Q1 2021.
- Average Retained Earnings over 5 years is $1.8 billion, with a median of $1.9 billion recorded in 2023.
- The sharpest annual moves came in 2022 and 2025: Retained Earnings increased 27.01% in 2022, then climbed 3.5% in 2025.
- Over 5 years, Retained Earnings stood at $1.4 billion in 2021, then rose by 25.06% to $1.8 billion in 2022, then advanced by 9.4% to $1.9 billion in 2023, then rose by 3.75% to $2.0 billion in 2024, then grew by 2.86% to $2.1 billion in 2025.
- The last three Retained Earnings figures came in at $2.1 billion (Q3 2025), $2.1 billion (Q2 2025), and $2.0 billion (Q1 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 7.65 Bn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | 2.31 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | 6.25 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | 1.40 Bn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | 2.43 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | 2.91 Bn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | 2.68 Bn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | 1.94 Bn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 2.08 Bn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | 1.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.08 Bn |
| Jun 30, 2025 | 2.06 Bn |
| Mar 31, 2025 | 2.04 Bn |
| Dec 31, 2024 | 2.02 Bn |
| Sep 30, 2024 | 2.01 Bn |
| Jun 30, 2024 | 1.99 Bn |
| Mar 31, 2024 | 1.97 Bn |
| Dec 31, 2023 | 1.95 Bn |
| Sep 30, 2023 | 1.92 Bn |
| Jun 30, 2023 | 1.89 Bn |
| Mar 31, 2023 | 1.84 Bn |
| Dec 31, 2022 | 1.78 Bn |
| Sep 30, 2022 | 1.70 Bn |
| Jun 30, 2022 | 1.61 Bn |
| Mar 31, 2022 | 1.51 Bn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 1.34 Bn |
| Jun 30, 2021 | 1.30 Bn |
| Mar 31, 2021 | 1.27 Bn |
| Dec 31, 2020 | 1.25 Bn |
Hub Retained Earnings 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=retained-earnings&ticker=HUBG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=HUBG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();