IDEAYA Biosciences (IDYA) Accounts Payables (2018 - 2026)
IDEAYA Biosciences (IDYA) posted Accounts Payables of $30.51 million for Q2 2026, up 76.7% from $17.27 million a year earlier and up 47.1% from the prior quarter.
IDEAYA Biosciences (IDYA) Accounts Payables (2018 - 2026) Analysis & Trends
At the end of FY2025, IDEAYA Biosciences' Accounts Payables came in at $17.58 million, up 14.0% from FY2024.
- Annual Accounts Payables has increased for six consecutive years, with a five-year compound annual growth rate of 79.1% (FY2020 to FY2025).
- In prior years, IDEAYA Biosciences' Accounts Payables was $15.42 million in FY2024 (+133.7%), $6.6 million in FY2023 (+54.2%), $4.28 million in FY2022 (+103.8%) and $2.1 million in FY2021 (+120.4%).
- The Q2 2026 figure stands as the highest quarterly Accounts Payables in data going back to Q4 2018.
- On a year-over-year basis, Accounts Payables has increased in each of the last 24 quarters, with growth averaging 77.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accounts Payables ranged from 8.7% (Q2 2025) to 180.3% (Q1 2025).
- According to Business Quant data, Accounts Payables for the three prior quarters was $20.74 million (Q1 2026), $17.58 million (Q4 2025) and $18.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 429.50 Mn |
| 10 | IDEAYA Biosciences | 3.70 Bn | 776.31 Mn | - | 30.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.51 Mn |
| Mar 31, 2026 | 20.74 Mn |
| Dec 31, 2025 | 17.58 Mn |
| Sep 30, 2025 | 18.43 Mn |
| Jun 30, 2025 | 17.27 Mn |
| Mar 31, 2025 | 17.63 Mn |
| Dec 31, 2024 | 15.42 Mn |
| Sep 30, 2024 | 12.57 Mn |
| Jun 30, 2024 | 15.89 Mn |
| Mar 31, 2024 | 6.29 Mn |
| Dec 31, 2023 | 6.60 Mn |
| Sep 30, 2023 | 5.17 Mn |
| Jun 30, 2023 | 5.87 Mn |
| Mar 31, 2023 | 4.38 Mn |
| Dec 31, 2022 | 4.28 Mn |
| Sep 30, 2022 | 3.65 Mn |
| Jun 30, 2022 | 4.23 Mn |
| Mar 31, 2022 | 3.36 Mn |
| Dec 31, 2021 | 2.10 Mn |
| Sep 30, 2021 | 2.15 Mn |
IDEAYA Biosciences Accounts Payables 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=accounts-payables&ticker=IDYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=IDYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();