IDEAYA Biosciences (IDYA) Non-Current Assets (2018 - 2026)
IDEAYA Biosciences (IDYA) posted Non-Current Assets of $344.06 million for Q3 2026, down 10.0% from $382.48 million a year earlier and down 22.8% from the prior quarter.
IDEAYA Biosciences (IDYA) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, IDEAYA Biosciences' Non-Current Assets came in at $442.6 million, up 1.9% from FY2024.
- Annual Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 114.9% (FY2020 to FY2025).
- In prior years, IDEAYA Biosciences' Non-Current Assets was $434.38 million in FY2024 (+272.3%), $116.68 million in FY2023 (+566.2%), $17.52 million in FY2022 (-86.6%) and $130.35 million in FY2021.
- Quarterly Non-Current Assets has run from a low of $17.47 million in Q3 2022 to a high of $445.67 million in Q2 2026 over five years.
- On a year-over-year basis, Non-Current Assets increased in six of the last eight quarters, with growth averaging 48.9%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2024, with growth of 910.8%; the weakest was Q3 2022, with a decline of 86.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $445.67 million (Q2 2026), $334.24 million (Q1 2026) and $442.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 159.99 Bn |
| 10 | IDEAYA Biosciences | 3.30 Bn | 317.16 Mn | - | 344.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 344.06 Mn |
| Jun 30, 2026 | 445.67 Mn |
| Mar 31, 2026 | 334.24 Mn |
| Dec 31, 2025 | 442.60 Mn |
| Sep 30, 2025 | 382.48 Mn |
| Jun 30, 2025 | 355.67 Mn |
| Mar 31, 2025 | 392.77 Mn |
| Dec 31, 2024 | 434.38 Mn |
| Sep 30, 2024 | 307.66 Mn |
| Jun 30, 2024 | 260.48 Mn |
| Mar 31, 2024 | 252.17 Mn |
| Dec 31, 2023 | 116.68 Mn |
| Sep 30, 2023 | 50.76 Mn |
| Jun 30, 2023 | 25.77 Mn |
| Mar 31, 2023 | 20.79 Mn |
| Dec 31, 2022 | 17.52 Mn |
| Sep 30, 2022 | 17.47 Mn |
| Jun 30, 2022 | 65.82 Mn |
| Mar 31, 2022 | 102.82 Mn |
| Dec 31, 2021 | 130.35 Mn |
IDEAYA Biosciences Non-Current Assets 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-assets&ticker=IDYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=IDYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();