Regional Management (RM) Intangibles (2011 - 2022)
Regional Management's Intangibles was $11.41 million in Q4 2022, up 29.6% from $8.8 million a year earlier.
Analysis
Regional Management (RM) Intangibles (2011 - 2022) Analysis & Trends
From Q4 2011 onward, Regional Management has reported Intangibles for 14 quarters.
- Intangibles shows a five-year compound annual growth rate of 2.9% (FY2017 to FY2022).
- In earlier years, Intangibles was $8.8 million in FY2021 (+10.4%), $7.97 million in FY2020 (-8.6%), $8.72 million in FY2019 (-6.2%) and $9.29 million in FY2018 (-6.0%).
- The Q4 2022 figure marks the highest quarterly Intangibles in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | 20.26 Bn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | - |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | - |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 147.00 Mn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 25.46 Mn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | 4.20 Bn |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | - |
| 10 | Regional Management | 323.93 Mn | 300.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 11.41 Mn |
| Dec 31, 2021 | 8.80 Mn |
| Dec 31, 2020 | 7.97 Mn |
| Dec 31, 2019 | 8.72 Mn |
| Dec 31, 2018 | 9.29 Mn |
| Dec 31, 2017 | 9.89 Mn |
| Dec 31, 2016 | 5.73 Mn |
| Mar 31, 2016 | 2.91 Mn |
| Dec 31, 2015 | 2.41 Mn |
| Dec 31, 2014 | 847,000.00 |
| Dec 31, 2013 | 1.39 Mn |
| Mar 31, 2013 | 1.81 Mn |
| Dec 31, 2012 | 1.82 Mn |
| Dec 31, 2011 | 136,000.00 |
API Access
Regional Management Intangibles 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=intangibles&ticker=RM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "RM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=RM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();