Rigel Pharmaceuticals (RIGL) Total Non-Current Liabilities (2010 - 2025)
Rigel Pharmaceuticals' Total Non-Current Liabilities was $122.11 million in Q4 2025, up 1.2% from $120.71 million a year earlier and up 1.8% from the prior quarter.
Powered by 
Analysis
Rigel Pharmaceuticals (RIGL) Total Non-Current Liabilities (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Rigel Pharmaceuticals has reported Total Non-Current Liabilities for 54 quarters.
- Total Non-Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $120.71 million in FY2024 (+14.0%), $105.93 million in FY2023 (+0.3%), $105.63 million in FY2022 (+25.4%) and $84.23 million in FY2021 (+18.1%).
- The Q4 2025 figure marks the highest quarterly Total Non-Current Liabilities since Q3 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 8.9%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2024 (growth of 37.5%); the worst was Q3 2025 (a decline of 19.5%).
- Per Business Quant data, RIGL's Total Non-Current Liabilities in the three quarters before Q4 2025 was $119.93 million (Q3 2025), $119.8 million (Q2 2025) and $117.42 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.26 Bn | 1,105.84 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 618.12 Bn | 536.65 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.25 Bn | 476.36 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 368.28 Bn | 322.66 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.45 Bn | 262.44 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.39 Bn | 235.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.30 Bn | 192.70 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.55 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 169.92 Bn | 116.56 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Rigel Pharmaceuticals | 905.73 Mn | 371.62 Mn | 70.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 122.11 Mn |
| Sep 30, 2025 | 119.93 Mn |
| Jun 30, 2025 | 119.80 Mn |
| Mar 31, 2025 | 107.42 Mn |
| Dec 31, 2024 | 115.71 Mn |
| Sep 30, 2024 | 149.06 Mn |
| Jun 30, 2024 | 143.32 Mn |
| Mar 31, 2024 | 142.97 Mn |
| Dec 31, 2023 | 105.93 Mn |
| Sep 30, 2023 | 108.40 Mn |
| Jun 30, 2023 | 104.23 Mn |
| Mar 31, 2023 | 105.80 Mn |
| Dec 31, 2022 | 105.63 Mn |
| Sep 30, 2022 | 86.73 Mn |
| Jun 30, 2022 | 84.79 Mn |
| Mar 31, 2022 | 89.07 Mn |
| Dec 31, 2021 | 84.23 Mn |
| Sep 30, 2021 | 82.48 Mn |
| Jun 30, 2021 | 85.26 Mn |
| Mar 31, 2021 | 80.16 Mn |
API Access
Rigel Pharmaceuticals Total Non-Current 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-non-current-liabilities&ticker=RIGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RIGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();