Royalty Pharma (RPRX) Total Liabilities (2019 - 2026)
Royalty Pharma (RPRX) posted Total Liabilities of $10.03 billion for Q2 2026, up 13.6% from $8.83 billion a year earlier and up 1.6% from the prior quarter.
Powered by 
Analysis
Royalty Pharma (RPRX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Royalty Pharma's Total Liabilities came in at $9.91 billion, up 25.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, Royalty Pharma's Total Liabilities was $7.88 billion in FY2024 (+25.1%), $6.3 billion in FY2023 (-13.6%), $7.29 billion in FY2022 (+0.3%) and $7.27 billion in FY2021 (+18.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Liabilities has increased in each of the last nine quarters, with growth averaging 22.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 26.2%; the weakest was Q4 2023, with a decline of 13.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $9.88 billion (Q1 2026), $9.91 billion (Q4 2025) and $9.73 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 84.49 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 37.43 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 10.03 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 4,215.85 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 105.03 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 10.31 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 126.76 Bn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | 16.61 Bn |
| 10 | Federal Home Loan Mortgage | 12.68 Bn | -6.06 Bn | - | 3,440.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.03 Bn |
| Mar 31, 2026 | 9.88 Bn |
| Dec 31, 2025 | 9.91 Bn |
| Sep 30, 2025 | 9.73 Bn |
| Jun 30, 2025 | 8.83 Bn |
| Mar 31, 2025 | 7.83 Bn |
| Dec 31, 2024 | 7.88 Bn |
| Sep 30, 2024 | 7.78 Bn |
| Jun 30, 2024 | 7.90 Bn |
| Mar 31, 2024 | 6.27 Bn |
| Dec 31, 2023 | 6.30 Bn |
| Sep 30, 2023 | 6.27 Bn |
| Jun 30, 2023 | 7.31 Bn |
| Mar 31, 2023 | 7.25 Bn |
| Dec 31, 2022 | 7.29 Bn |
| Sep 30, 2022 | 7.26 Bn |
| Jun 30, 2022 | 7.33 Bn |
| Mar 31, 2022 | 7.24 Bn |
| Dec 31, 2021 | 7.27 Bn |
| Sep 30, 2021 | 7.35 Bn |
API Access
Royalty Pharma Total Liabilities 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=total-liabilities&ticker=RPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();