IDEAYA Biosciences (IDYA) Cash & Equivalents (2018 - 2026)
IDEAYA Biosciences (IDYA) recorded Cash & Equivalents of $261.45 million in Q3 2026, down 12.5% from $298.93 million a year earlier and down 4.1% from the prior quarter.
IDEAYA Biosciences (IDYA) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, IDEAYA Biosciences reported Cash & Equivalents of $112.83 million, up 33.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $84.38 million in FY2024 (-46.3%), $157.02 million in FY2023 (+128.8%), $68.63 million in FY2022 (-25.4%) and $92.05 million in FY2021 (+27.8%).
- Quarterly Cash & Equivalents has ranged from $49.11 million in Q2 2022 to $400.28 million in Q3 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 11.4%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 163.6% in Q3 2024, against a decline of 59.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $272.59 million (Q2 2026), $157.52 million (Q1 2026) and $112.83 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | IDEAYA Biosciences | 3.07 Bn | 90.55 Mn | - | 261.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 261.45 Mn |
| Jun 30, 2026 | 272.59 Mn |
| Mar 31, 2026 | 157.52 Mn |
| Dec 31, 2025 | 112.83 Mn |
| Sep 30, 2025 | 298.93 Mn |
| Jun 30, 2025 | 114.65 Mn |
| Mar 31, 2025 | 130.00 Mn |
| Dec 31, 2024 | 84.38 Mn |
| Sep 30, 2024 | 400.28 Mn |
| Jun 30, 2024 | 183.05 Mn |
| Mar 31, 2024 | 108.35 Mn |
| Dec 31, 2023 | 157.02 Mn |
| Sep 30, 2023 | 151.85 Mn |
| Jun 30, 2023 | 102.84 Mn |
| Mar 31, 2023 | 67.24 Mn |
| Dec 31, 2022 | 68.63 Mn |
| Sep 30, 2022 | 101.95 Mn |
| Jun 30, 2022 | 49.11 Mn |
| Mar 31, 2022 | 55.29 Mn |
| Dec 31, 2021 | 92.05 Mn |
IDEAYA Biosciences 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=IDYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "IDYA", "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=IDYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();