Rb Global (RBA) Operating Income (2014 - 2026)
Rb Global (RBA) posted Operating Income of $224.8 million for Q2 2026, up 19.2% from $188.6 million a year earlier and up 3.4% from the prior quarter.
Rb Global (RBA) Operating Income (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Rb Global was $777.6 million, up 5.3% year-over-year; for FY2025, it came in at $713.4 million, down 6.3% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- In prior years, Rb Global's Operating Income was $761.2 million in FY2024 (+61.5%), $471.3 million in FY2023 (+3.9%), $453.5 million in FY2022 (+88.2%) and $241 million in FY2021 (-8.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Income since Q1 2022.
- On a year-over-year basis, Operating Income increased in five of the last eight quarters, with growth averaging 4.7%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q1 2022, with growth of 422.9%; the weakest was Q4 2021, with a decline of 26.8%.
- According to Business Quant data, Operating Income for the three prior quarters was $217.5 million (Q1 2026), $177 million (Q4 2025) and $158.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.89 Bn | 166.14 Bn | - | 2.94 Bn |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - | 1.57 Bn |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - | 930.00 Mn |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - | 1.06 Bn |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - | 1.15 Bn |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - | 1.55 Bn |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | 1.45 Bn |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - | 465.30 Mn |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - | 1.45 Bn |
| 10 | Rb Global | 15.61 Bn | 13.22 Bn | 574.60 Mn | 224.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 224.80 Mn |
| Mar 31, 2026 | 217.50 Mn |
| Dec 31, 2025 | 177.00 Mn |
| Sep 30, 2025 | 158.30 Mn |
| Jun 30, 2025 | 188.60 Mn |
| Mar 31, 2025 | 189.50 Mn |
| Dec 31, 2024 | 207.00 Mn |
| Sep 30, 2024 | 153.40 Mn |
| Jun 30, 2024 | 201.90 Mn |
| Mar 31, 2024 | 198.90 Mn |
| Dec 31, 2023 | 170.80 Mn |
| Sep 30, 2023 | 145.80 Mn |
| Jun 30, 2023 | 179.60 Mn |
| Mar 31, 2023 | -24.90 Mn |
| Dec 31, 2022 | 65.70 Mn |
| Sep 30, 2022 | 63.50 Mn |
| Jun 30, 2022 | 91.60 Mn |
| Mar 31, 2022 | 232.70 Mn |
| Dec 31, 2021 | 53.36 Mn |
| Sep 30, 2021 | 53.62 Mn |
Rb Global Operating Income 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-income&ticker=RBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=RBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();