Rigel Pharmaceuticals (RIGL) Non-Current Debt (2019 - 2026)
Rigel Pharmaceuticals' Non-Current Debt came in at $39.24 million for Q2 2026, up 4.8% from $37.45 million a year earlier but down 12.5% from the prior quarter.
Rigel Pharmaceuticals (RIGL) Non-Current Debt (2019 - 2026) Analysis & Trends
At the end of FY2025, Rigel Pharmaceuticals' Non-Current Debt was $52.29 million, down 12.4% from FY2024.
- Non-Current Debt carries a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $59.68 million in FY2024 (+14.0%), $52.37 million in FY2023 (+32.8%), $39.45 million in FY2022 (+98.1%) and $19.91 million in FY2021 (+0.5%).
- The five-year range for quarterly Non-Current Debt is $19.89 million (Q3 2021) to $59.76 million (Q3 2024).
- Year-over-year, Non-Current Debt increased in three of the last eight quarters, with an average decline of 10.1%.
- The fastest year-over-year change in Non-Current Debt over five years came in Q2 2023 (growth of 99.7%), and the weakest in Q3 2025 (a decline of 49.9%).
- Business Quant data shows RIGL's Non-Current Debt at $44.86 million (Q1 2026), $52.29 million (Q4 2025) and $29.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Rigel Pharmaceuticals | 922.04 Mn | 387.93 Mn | 70.18 Mn | 39.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.24 Mn |
| Mar 31, 2026 | 44.86 Mn |
| Dec 31, 2025 | 52.29 Mn |
| Sep 30, 2025 | 29.97 Mn |
| Jun 30, 2025 | 37.45 Mn |
| Mar 31, 2025 | 44.93 Mn |
| Dec 31, 2024 | 59.68 Mn |
| Sep 30, 2024 | 59.76 Mn |
| Jun 30, 2024 | 59.69 Mn |
| Mar 31, 2024 | 44.91 Mn |
| Dec 31, 2023 | 52.37 Mn |
| Sep 30, 2023 | 59.66 Mn |
| Jun 30, 2023 | 59.57 Mn |
| Mar 31, 2023 | 59.48 Mn |
| Dec 31, 2022 | 39.45 Mn |
| Sep 30, 2022 | 39.47 Mn |
| Jun 30, 2022 | 29.84 Mn |
| Mar 31, 2022 | 29.85 Mn |
| Dec 31, 2021 | 19.91 Mn |
| Sep 30, 2021 | 19.89 Mn |
Rigel Pharmaceuticals Non-Current 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=non-current-debt&ticker=RIGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "RIGL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=RIGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();