Lyell Immunopharma (LYEL) Research & Development (2020 - 2026)
Lyell Immunopharma (LYEL) reported Research & Development of $39.52 million for Q2 2026, up 13.4% from $34.86 million a year earlier and up 8.0% from the prior quarter.
Lyell Immunopharma (LYEL) Research & Development (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lyell Immunopharma's Research & Development came in at $156.5 million, down 6.0% year-over-year; for FY2025, it was $158.68 million, down 7.5% from FY2024.
- Research & Development has a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- By year, Research & Development came in at $171.6 million in FY2024 (-6.2%), $182.95 million in FY2023 (+14.9%), $159.19 million in FY2022 (+14.8%) and $138.69 million in FY2021 (-23.9%).
- Five-year quarterly Research & Development spans a low of $19.29 million in Q4 2021 and a high of $52.2 million in Q4 2025.
- Year over year, Research & Development gained in four of the last eight quarters, with an average decline of 5.4%.
- The high point for year-over-year Research & Development in five years was Q4 2022 (growth of 97.2%); the low point was Q4 2021 (a decline of 45.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.6 million (Q1 2026), $52.2 million (Q4 2025) and $28.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Lyell Immunopharma | 227.89 Mn | 227.89 Mn | - | 39.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.52 Mn |
| Mar 31, 2026 | 36.60 Mn |
| Dec 31, 2025 | 52.20 Mn |
| Sep 30, 2025 | 28.17 Mn |
| Jun 30, 2025 | 34.86 Mn |
| Mar 31, 2025 | 43.45 Mn |
| Dec 31, 2024 | 48.67 Mn |
| Sep 30, 2024 | 39.50 Mn |
| Jun 30, 2024 | 40.26 Mn |
| Mar 31, 2024 | 43.17 Mn |
| Dec 31, 2023 | 47.00 Mn |
| Sep 30, 2023 | 43.85 Mn |
| Jun 30, 2023 | 47.47 Mn |
| Mar 31, 2023 | 44.63 Mn |
| Dec 31, 2022 | 38.03 Mn |
| Sep 30, 2022 | 41.61 Mn |
| Jun 30, 2022 | 43.72 Mn |
| Mar 31, 2022 | 35.83 Mn |
| Dec 31, 2021 | 19.29 Mn |
| Sep 30, 2021 | 31.43 Mn |
Lyell Immunopharma Research & Development 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=research-and-development&ticker=LYEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "LYEL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=LYEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();