Rb Global (RBA) Long-Term Investments (2014 - 2023)
Rb Global's (RBA) quarterly Long-Term Investments came in at $8.3 million in Q2 2023, up 315.0% quarter-over-quarter from $2.0 million in Q4 2022.
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Analysis
Rb Global (RBA) Long-Term Investments (2014 - 2023) Analysis & Trends
Rb Global (RBA) has reported Long-Term Investments for 8 consecutive years, with $8.3 million the latest figure, recorded in Q2 2023.
- For the quarter ending Q2 2023, Long-Term Investments changed N/A year-over-year to $8.3 million; the trailing twelve-month figure through Jun 2023 stood at $8.3 million (changed N/A YoY), and the FY2022 full-year result was $2.0 million, changed N/A from the prior year.
- Long-Term Investments advanced to $8.3 million in Q2 2023 per RBA's latest filing, from $2.0 million in the prior quarter.
- Across five years, Long-Term Investments topped out at $8.3 million in Q2 2023 and bottomed at $2.0 million in Q4 2022.
- Historically, Long-Term Investments has averaged $4.5 million across 3 years, with a median of $4.2 million in 2019.
- The widest YoY moves for Long-Term Investments: up 6.63% in 2019, down 38.76% in 2019.
- Over 3 years, Long-Term Investments stood at $4.3 million in 2019, then plunged by 53.23% to $2.0 million in 2022, then jumped by 315.0% to $8.3 million in 2023.
- According to Business Quant data, Long-Term Investments over the past three periods registered $8.3 million, $2.0 million, and $4.3 million for Q2 2023, Q4 2022, and Q4 2019 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | - |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn | - |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn | - |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn | - |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn | - |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn | - |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn | - |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn | - |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn | 20.70 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 8.30 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Dec 31, 2019 | 4.28 Mn |
| Sep 30, 2019 | 4.20 Mn |
| Jun 30, 2019 | 4.24 Mn |
| Mar 31, 2019 | 4.24 Mn |
| Dec 31, 2018 | 4.01 Mn |
| Sep 30, 2018 | 4.21 Mn |
| Jun 30, 2018 | 6.67 Mn |
| Mar 31, 2018 | 6.92 Mn |
| Dec 31, 2017 | 7.41 Mn |
| Sep 30, 2017 | 7.29 Mn |
| Jun 30, 2017 | 7.29 Mn |
| Mar 31, 2017 | 7.20 Mn |
| Dec 31, 2016 | 7.33 Mn |
| Sep 30, 2016 | 7.65 Mn |
| Jun 30, 2016 | 7.49 Mn |
| Mar 31, 2016 | 7.08 Mn |
| Dec 31, 2015 | 3.00 Mn |
| Dec 31, 2014 | 3.00 Mn |
API Access
Rb Global Long-Term Investments 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=long-term-investments&ticker=RBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=RBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();