Hub (HUBG) Accumulated Expenses (2009 - 2025)
Hub (HUBG) posted Accumulated Expenses of $34.5 million for Q3 2025, up 10.4% on a QoQ basis from $31.3 million in Q2 2025, and little changed year-over-year from $34.4 million in Q3 2024.
Hub (HUBG) Accumulated Expenses (2009 - 2025) Analysis & Trends
Hub has reported Accumulated Expenses for 17 years, with the latest figure at $34.5 million in Q3 2025.
- On a quarterly basis, Accumulated Expenses changed 0.2% year-over-year to $34.5 million in Q3 2025; TTM through Sep 2025 was $34.5 million, a 0.2% change from a year earlier, with the FY2024 full-year figure at $32.8 million, up 51.09% from the prior year.
- Accumulated Expenses was $34.5 million for Q3 2025 at Hub, up from $31.3 million in the prior quarter.
- The five-year high for Accumulated Expenses was $68.3 million in Q3 2022, with the low at $21.7 million in Q4 2023.
- Average Accumulated Expenses over 5 years is $39.4 million, with a median of $33.4 million recorded in 2021.
- The sharpest annual moves came in 2021 and 2023: Accumulated Expenses surged 147.08% in 2021, then tumbled 67.4% in 2023.
- Over 5 years, Accumulated Expenses stood at $56.9 million in 2021, then advanced by 17.09% to $66.7 million in 2022, then sank by 67.4% to $21.7 million in 2023, then soared by 51.09% to $32.8 million in 2024, then rose by 5.11% to $34.5 million in 2025.
- The last three Accumulated Expenses figures came in at $34.5 million (Q3 2025), $31.3 million (Q2 2025), and $32.3 million (Q1 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 34.51 Mn |
| Jun 30, 2025 | 31.26 Mn |
| Mar 31, 2025 | 32.32 Mn |
| Dec 31, 2024 | 32.83 Mn |
| Sep 30, 2024 | 34.44 Mn |
| Jun 30, 2024 | 29.43 Mn |
| Mar 31, 2024 | 31.96 Mn |
| Dec 31, 2023 | 21.73 Mn |
| Sep 30, 2023 | 26.09 Mn |
| Jun 30, 2023 | 23.29 Mn |
| Mar 31, 2023 | 28.67 Mn |
| Dec 31, 2022 | 66.67 Mn |
| Sep 30, 2022 | 68.26 Mn |
| Jun 30, 2022 | 54.90 Mn |
| Mar 31, 2022 | 47.52 Mn |
| Dec 31, 2021 | 56.94 Mn |
| Sep 30, 2021 | 56.39 Mn |
| Jun 30, 2021 | 37.48 Mn |
| Mar 31, 2021 | 33.40 Mn |
| Dec 31, 2020 | 23.04 Mn |
Hub Accumulated Expenses 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=accumulated-expenses&ticker=HUBG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HUBG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();