Rb Global (RBA) Accumulated Expenses (2014 - 2026)
Rb Global's (RBA) quarterly Accumulated Expenses came in at $277.5 million in Q2 2026, up 16.06% on a YoY basis from $239.1 million in Q2 2025, and up 31.21% quarter-over-quarter from $211.5 million in Q1 2026.
Rb Global (RBA) Accumulated Expenses (2014 - 2026) Analysis & Trends
Rb Global (RBA) has reported Accumulated Expenses for 13 consecutive years, with $277.5 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 16.06% year-over-year to $277.5 million; the trailing twelve-month figure through Jun 2026 stood at $277.5 million (up 16.06% YoY), and the FY2025 full-year result was $348.1 million, up 46.69% from the prior year.
- Accumulated Expenses rose to $277.5 million in Q2 2026 per RBA's latest filing, from $211.5 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $348.1 million in Q4 2025 and bottomed at $119.3 million in Q4 2022.
- Historically, Accumulated Expenses has averaged $235.6 million across 5 years, with a median of $237.3 million in 2024.
- The sharpest annual moves came in 2023 and 2024: Accumulated Expenses soared 146.86% in 2023, then fell 19.42% in 2024.
- Over 5 years, Accumulated Expenses stood at $119.3 million in 2022, then jumped by 146.86% to $294.5 million in 2023, then declined by 19.42% to $237.3 million in 2024, then soared by 46.69% to $348.1 million in 2025, then retreated by 20.28% to $277.5 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $277.5 million, $211.5 million, and $348.1 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 |
|---|---|
| Jun 30, 2026 | 277.50 Mn |
| Mar 31, 2026 | 211.50 Mn |
| Dec 31, 2025 | 348.10 Mn |
| Sep 30, 2025 | 263.60 Mn |
| Jun 30, 2025 | 239.10 Mn |
| Mar 31, 2025 | 193.20 Mn |
| Dec 31, 2024 | 237.30 Mn |
| Sep 30, 2024 | 209.70 Mn |
| Jun 30, 2024 | 238.30 Mn |
| Mar 31, 2024 | 210.30 Mn |
| Dec 31, 2023 | 294.50 Mn |
| Sep 30, 2023 | 238.20 Mn |
| Jun 30, 2023 | 236.10 Mn |
| Mar 31, 2023 | 217.50 Mn |
| Dec 31, 2022 | 119.30 Mn |
| Dec 31, 2021 | 116.65 Mn |
| Dec 31, 2020 | 99.56 Mn |
| Dec 31, 2019 | 69.54 Mn |
| Dec 31, 2018 | 63.67 Mn |
| Dec 31, 2017 | 55.33 Mn |
Rb Global 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=RBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RBA", "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=RBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();