IDEAYA Biosciences (IDYA) Total Current Liabilities (2018 - 2026)
IDEAYA Biosciences (IDYA) recorded Total Current Liabilities of $96.41 million in Q3 2026, up 49.4% from $64.51 million a year earlier and up 16.6% from the prior quarter.
IDEAYA Biosciences (IDYA) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, IDEAYA Biosciences reported Total Current Liabilities of $58.82 million, up 27.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $46.07 million in FY2024 (+70.0%), $27.1 million in FY2023 (-14.6%), $31.72 million in FY2022 (-29.8%) and $45.16 million in FY2021 (+16.9%).
- The Q3 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Current Liabilities has increased for ten consecutive quarters, with growth averaging 52.8% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 103.7% in Q1 2025, against a decline of 56.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $82.68 million (Q2 2026), $64.83 million (Q1 2026) and $58.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | IDEAYA Biosciences | 3.30 Bn | 317.16 Mn | - | 96.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 96.41 Mn |
| Jun 30, 2026 | 82.68 Mn |
| Mar 31, 2026 | 64.83 Mn |
| Dec 31, 2025 | 58.82 Mn |
| Sep 30, 2025 | 64.51 Mn |
| Jun 30, 2025 | 55.34 Mn |
| Mar 31, 2025 | 50.85 Mn |
| Dec 31, 2024 | 46.07 Mn |
| Sep 30, 2024 | 40.66 Mn |
| Jun 30, 2024 | 40.74 Mn |
| Mar 31, 2024 | 24.96 Mn |
| Dec 31, 2023 | 27.10 Mn |
| Sep 30, 2023 | 24.89 Mn |
| Jun 30, 2023 | 25.34 Mn |
| Mar 31, 2023 | 29.82 Mn |
| Dec 31, 2022 | 31.72 Mn |
| Sep 30, 2022 | 32.73 Mn |
| Jun 30, 2022 | 58.09 Mn |
| Mar 31, 2022 | 56.96 Mn |
| Dec 31, 2021 | 45.16 Mn |
IDEAYA Biosciences Total 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-current-liabilities&ticker=IDYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IDYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();