Rb Global (RBA) Other Operating Expenses (2015 - 2026)
Rb Global (RBA) posted Other Operating Expenses of $872.9 million for Q2 2026, up 19.5% from $730.6 million a year earlier and up 9.3% from the prior quarter.
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Analysis
Rb Global (RBA) Other Operating Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Rb Global was $3.09 billion, up 12.6% year-over-year; for FY2025, it was $2.84 billion, up 8.3% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 160.0% (FY2020 to FY2025).
- In prior years, Rb Global's Other Operating Expenses was $2.62 billion in FY2024 (+20.9%), $2.17 billion in FY2023, $29.82 million in FY2022 (+14.8%) and $25.97 million in FY2021 (+8.8%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q1 2015.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last seven quarters, with growth averaging 10.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2024, with growth of 150.4%; the weakest was Q4 2022, with a decline of 41.5%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $798.5 million (Q1 2026), $734.3 million (Q4 2025) and $686.6 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 | 872.90 Mn |
| Mar 31, 2026 | 798.50 Mn |
| Dec 31, 2025 | 734.30 Mn |
| Sep 30, 2025 | 686.60 Mn |
| Jun 30, 2025 | 730.60 Mn |
| Mar 31, 2025 | 685.10 Mn |
| Dec 31, 2024 | 712.50 Mn |
| Sep 30, 2024 | 618.90 Mn |
| Jun 30, 2024 | 656.50 Mn |
| Mar 31, 2024 | 632.40 Mn |
| Dec 31, 2023 | 628.30 Mn |
| Sep 30, 2023 | 623.00 Mn |
| Jun 30, 2023 | 663.30 Mn |
| Mar 31, 2023 | 252.60 Mn |
| Dec 31, 2022 | 5.46 Mn |
| Sep 30, 2022 | 5.21 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 5.93 Mn |
| Dec 31, 2021 | 6.62 Mn |
| Sep 30, 2021 | 4.99 Mn |
API Access
Rb Global Other Operating 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=other-operating-expenses&ticker=RBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=RBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();