Rigel Pharmaceuticals (RIGL) Cash & Equivalents (2010 - 2026)
Rigel Pharmaceuticals' Cash & Equivalents came in at $60.82 million for Q2 2026, up 13.9% from $53.41 million a year earlier and up 149.1% from the prior quarter.
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Analysis
Rigel Pharmaceuticals (RIGL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Rigel Pharmaceuticals' Cash & Equivalents was $40.58 million, down 28.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $56.75 million in FY2024 (+73.1%), $32.79 million in FY2023 (+34.0%), $24.46 million in FY2022 (+29.5%) and $18.89 million in FY2021 (-37.8%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q2 2021.
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 18.3%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2023 (growth of 79.4%), and the weakest in Q2 2022 (a decline of 67.9%).
- Business Quant data shows RIGL's Cash & Equivalents at $24.41 million (Q1 2026), $40.58 million (Q4 2025) and $48.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Rigel Pharmaceuticals | 899.44 Mn | 365.32 Mn | 70.18 Mn | 60.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.82 Mn |
| Mar 31, 2026 | 24.41 Mn |
| Dec 31, 2025 | 40.58 Mn |
| Sep 30, 2025 | 48.53 Mn |
| Jun 30, 2025 | 53.41 Mn |
| Mar 31, 2025 | 45.73 Mn |
| Dec 31, 2024 | 56.75 Mn |
| Sep 30, 2024 | 51.69 Mn |
| Jun 30, 2024 | 36.05 Mn |
| Mar 31, 2024 | 25.57 Mn |
| Dec 31, 2023 | 32.79 Mn |
| Sep 30, 2023 | 45.41 Mn |
| Jun 30, 2023 | 48.81 Mn |
| Mar 31, 2023 | 40.29 Mn |
| Dec 31, 2022 | 24.46 Mn |
| Sep 30, 2022 | 29.87 Mn |
| Jun 30, 2022 | 27.20 Mn |
| Mar 31, 2022 | 24.68 Mn |
| Dec 31, 2021 | 18.89 Mn |
| Sep 30, 2021 | 30.40 Mn |
API Access
Rigel Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=RIGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RIGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();