Royalty Pharma (RPRX) Amortization - Intangibles (2019 - 2022)
Royalty Pharma (RPRX) recorded Amortization - Intangibles of $5.67 million in FY2022, down 75.3% from $23 million in FY2021.
Analysis
Royalty Pharma (RPRX) Amortization - Intangibles (2019 - 2022) Analysis & Trends
Starting with FY2018, Royalty Pharma's Amortization - Intangibles history includes 5 years.
- Annual Amortization - Intangibles has declined for four straight years, with a four-year compound annual growth rate of -35.7% (FY2018 to FY2022).
- The FY2022 figure is the lowest annual Amortization - Intangibles in data going back to FY2018.
- Per Business Quant data, RPRX's Amortization - Intangibles was $23 million in FY2021 (-0.3%), $23.06 million in FY2020 (-3.6%), $23.92 million in FY2019 (-28.1%) and $33.27 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.68 Bn | -6.06 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 5.67 Mn |
| Dec 31, 2021 | 5.80 Mn |
| Sep 30, 2021 | 5.80 Mn |
| Jun 30, 2021 | 5.73 Mn |
| Mar 31, 2021 | 5.67 Mn |
| Dec 31, 2020 | 5.80 Mn |
| Sep 30, 2020 | 5.80 Mn |
| Jun 30, 2020 | 5.73 Mn |
| Mar 31, 2020 | 5.73 Mn |
| Dec 31, 2019 | 5.80 Mn |
| Sep 30, 2019 | 5.80 Mn |
| Jun 30, 2019 | 5.73 Mn |
API Access
Royalty Pharma Amortization - 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=amortization-intangibles&ticker=RPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "RPRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=RPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();