Rb Global (RBA) Operating Expenses (2015 - 2026)
Rb Global's Operating Expenses came in at $1.09 billion for Q2 2026, up 11.2% from $981.9 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Rb Global (RBA) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rb Global reported Operating Expenses of $4.08 billion, up 11.3% year-over-year; for FY2025, it was $3.87 billion, up 9.7% from FY2024.
- Operating Expenses has increased in each of the last eight years, with a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $3.53 billion in FY2024 (+9.8%), $3.21 billion in FY2023 (+121.4%), $1.45 billion in FY2022 (+23.2%) and $1.18 billion in FY2021 (+5.5%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2015.
- Year-over-year, Operating Expenses has increased for seven consecutive quarters, with growth averaging 7.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 151.1%), and the weakest in Q3 2024 (a decline of 5.2%).
- Business Quant data shows RBA's Operating Expenses at $1.02 billion (Q1 2026), $1.03 billion (Q4 2025) and $935.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.13 Bn | 169.38 Bn | - | 4.25 Bn |
| 2 | Csx | 95.25 Bn | 90.48 Bn | - | 2.45 Bn |
| 3 | Canadian Pacific Kansas City | 79.66 Bn | 79.37 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 76.08 Bn | 53.01 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 75.89 Bn | 70.35 Bn | - | 2.38 Bn |
| 6 | Fedex | 71.92 Bn | 37.86 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 52.14 Bn | 34.32 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.40 Bn | 38.66 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 33.14 Bn | -24.56 Bn | - | 16.43 Bn |
| 10 | Rb Global | 15.62 Bn | 13.22 Bn | 574.60 Mn | 1.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 935.60 Mn |
| Jun 30, 2025 | 981.90 Mn |
| Mar 31, 2025 | 919.50 Mn |
| Dec 31, 2024 | 935.20 Mn |
| Sep 30, 2024 | 828.90 Mn |
| Jun 30, 2024 | 894.50 Mn |
| Mar 31, 2024 | 868.20 Mn |
| Dec 31, 2023 | 870.60 Mn |
| Sep 30, 2023 | 874.50 Mn |
| Jun 30, 2023 | 929.60 Mn |
| Mar 31, 2023 | 538.50 Mn |
| Dec 31, 2022 | 378.50 Mn |
| Sep 30, 2022 | 348.30 Mn |
| Jun 30, 2022 | 393.20 Mn |
| Mar 31, 2022 | 331.00 Mn |
| Dec 31, 2021 | 306.13 Mn |
| Sep 30, 2021 | 277.13 Mn |
API Access
Rb Global 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=operating-expenses&ticker=RBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=RBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();