Rb Global (RBA) Other Accumulated Expenses (2014 - 2023)
Rb Global's Other Accumulated Expenses came in at $11.5 million for Q2 2023, down 29.4% from the prior quarter.
Analysis
Rb Global (RBA) Other Accumulated Expenses (2014 - 2023) Analysis & Trends
At the end of FY2022, Rb Global's Other Accumulated Expenses was $14.5 million, up 27.6% from FY2021.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 6.5% (FY2017 to FY2022).
- Going back by year, Other Accumulated Expenses was $11.36 million in FY2021 (+8.9%), $10.43 million in FY2020 (-15.2%), $12.3 million in FY2019 (-8.6%) and $13.46 million in FY2018 (+27.4%).
- The Q2 2023 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 173.57 Bn | 165.82 Bn | - |
| 2 | Csx | 93.73 Bn | 88.95 Bn | - |
| 3 | United Parcel Service | 85.38 Bn | 62.27 Bn | - |
| 4 | Canadian Pacific Kansas City | 79.16 Bn | 78.18 Bn | - |
| 5 | Norfolk Southern | 74.37 Bn | 68.83 Bn | - |
| 6 | Fedex | 70.74 Bn | 36.69 Bn | - |
| 7 | Delta Air Lines | 50.02 Bn | 32.21 Bn | - |
| 8 | Old Dominion Freight Line | 37.99 Bn | 37.25 Bn | - |
| 9 | United Airlines Holdings | 31.82 Bn | -25.87 Bn | - |
| 10 | Rb Global | 15.53 Bn | 13.13 Bn | 574.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 11.50 Mn |
| Mar 31, 2023 | 16.30 Mn |
| Dec 31, 2022 | 14.50 Mn |
| Dec 31, 2021 | 11.36 Mn |
| Dec 31, 2020 | 10.43 Mn |
| Dec 31, 2019 | 12.30 Mn |
| Dec 31, 2018 | 13.46 Mn |
| Dec 31, 2017 | 10.56 Mn |
| Dec 31, 2016 | 12.63 Mn |
| Dec 31, 2015 | 9.76 Mn |
| Dec 31, 2014 | 10.86 Mn |
API Access
Rb Global Other 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=other-accumulated-expenses&ticker=RBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=RBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();