Royalty Pharma plc (RPRX) Long-Term Debt (2019 - 2026)
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Analysis
Royalty Pharma plc (RPRX) Long-Term Debt (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.96 Bn |
| Mar 31, 2026 | 8.96 Bn |
| Dec 31, 2025 | 8.95 Bn |
| Sep 30, 2025 | 8.95 Bn |
| Jun 30, 2025 | 8.00 Bn |
| Mar 31, 2025 | 7.62 Bn |
| Dec 31, 2024 | 7.61 Bn |
| Sep 30, 2024 | 7.61 Bn |
| Jun 30, 2024 | 7.60 Bn |
| Mar 31, 2024 | 6.14 Bn |
| Dec 31, 2023 | 6.14 Bn |
| Sep 30, 2023 | 6.13 Bn |
| Jun 30, 2023 | 7.13 Bn |
| Mar 31, 2023 | 7.12 Bn |
| Dec 31, 2022 | 7.12 Bn |
| Sep 30, 2022 | 7.11 Bn |
| Jun 30, 2022 | 7.11 Bn |
| Mar 31, 2022 | 7.10 Bn |
| Dec 31, 2021 | 7.10 Bn |
| Sep 30, 2021 | 7.09 Bn |
API Access
Royalty Pharma plc Long-Term Debt 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-debt&ticker=RPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=RPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();