IDEAYA Biosciences (IDYA) Selling, General & Administrative (2018 - 2026)
IDEAYA Biosciences (IDYA) recorded Selling, General & Administrative of $22.46 million in Q2 2026, up 54.0% from $14.58 million a year earlier and up 15.9% from the prior quarter.
IDEAYA Biosciences (IDYA) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a TTM basis, IDEAYA Biosciences' Selling, General & Administrative came in at $77.07 million as of Jun 30, 2026, up 58.0% year-over-year; for FY2025, it was $63.32 million, up 61.1% from FY2024.
- Annual Selling, General & Administrative has increased for eight straight years, with a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $39.3 million in FY2024 (+38.8%), $28.31 million in FY2023 (+18.5%), $23.9 million in FY2022 (+19.2%) and $20.05 million in FY2021 (+32.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2018.
- On a year-over-year basis, Selling, General & Administrative has increased for 29 consecutive quarters, with growth averaging 52.7% over the last eight quarters.
- The year-over-year growth in Selling, General & Administrative has ranged between 6.4% (Q1 2023) and 72.0% (Q4 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $19.38 million (Q1 2026), $18.85 million (Q4 2025) and $16.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | IDEAYA Biosciences | 3.60 Bn | 674.16 Mn | - | 22.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.46 Mn |
| Mar 31, 2026 | 19.38 Mn |
| Dec 31, 2025 | 18.85 Mn |
| Sep 30, 2025 | 16.39 Mn |
| Jun 30, 2025 | 14.58 Mn |
| Mar 31, 2025 | 13.50 Mn |
| Dec 31, 2024 | 10.96 Mn |
| Sep 30, 2024 | 9.74 Mn |
| Jun 30, 2024 | 10.39 Mn |
| Mar 31, 2024 | 8.21 Mn |
| Dec 31, 2023 | 7.07 Mn |
| Sep 30, 2023 | 7.86 Mn |
| Jun 30, 2023 | 7.08 Mn |
| Mar 31, 2023 | 6.30 Mn |
| Dec 31, 2022 | 5.75 Mn |
| Sep 30, 2022 | 6.67 Mn |
| Jun 30, 2022 | 5.55 Mn |
| Mar 31, 2022 | 5.92 Mn |
| Dec 31, 2021 | 5.22 Mn |
| Sep 30, 2021 | 5.19 Mn |
IDEAYA Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=IDYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IDYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();