Rb Global (RBA) Accumulated Expenses (2014 - 2026)
Rb Global (RBA) posted Accumulated Expenses of $277.5 million for Q2 2026, up 16.1% from $239.1 million a year earlier and up 31.2% from the prior quarter.
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Analysis
Rb Global (RBA) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Rb Global's Accumulated Expenses came in at $348.1 million, up 46.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- In prior years, Rb Global's Accumulated Expenses was $237.3 million in FY2024 (-19.4%), $294.5 million in FY2023 (+146.9%), $119.3 million in FY2022 (+2.3%) and $116.65 million in FY2021 (+17.2%).
- Quarterly Accumulated Expenses has run from a low of $116.65 million in Q4 2021 to a high of $348.1 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 146.9%; the weakest was Q4 2024, with a decline of 19.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $211.5 million (Q1 2026), $348.1 million (Q4 2025) and $263.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - |
| 10 | Rb Global | 15.62 Bn | 13.22 Bn | 574.60 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();