Lyell Immunopharma (LYEL) Cash & Equivalents (2020 - 2026)
Lyell Immunopharma's Cash & Equivalents was $72.99 million in Q2 2026, down 26.1% from $98.8 million a year earlier and down 19.6% from the prior quarter.
Lyell Immunopharma (LYEL) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Lyell Immunopharma came in at $60.18 million, down 43.0% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $105.6 million in FY2024 (-27.5%), $145.65 million in FY2023 (+17.9%), $123.55 million in FY2022 (-58.0%) and $293.83 million in FY2021 (+109.3%).
- Quarterly Cash & Equivalents has moved between $60.18 million (Q4 2025) and $393.5 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with an average decline of 24.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 191.7%); the worst was Q3 2022 (a decline of 70.4%).
- Per Business Quant data, LYEL's Cash & Equivalents in the three quarters before Q2 2026 was $90.77 million (Q1 2026), $60.18 million (Q4 2025) and $123.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Lyell Immunopharma | 216.66 Mn | 216.66 Mn | - | 72.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.99 Mn |
| Mar 31, 2026 | 90.77 Mn |
| Dec 31, 2025 | 60.18 Mn |
| Sep 30, 2025 | 123.58 Mn |
| Jun 30, 2025 | 98.80 Mn |
| Mar 31, 2025 | 120.33 Mn |
| Dec 31, 2024 | 105.60 Mn |
| Sep 30, 2024 | 100.30 Mn |
| Jun 30, 2024 | 133.42 Mn |
| Mar 31, 2024 | 125.65 Mn |
| Dec 31, 2023 | 145.65 Mn |
| Sep 30, 2023 | 286.21 Mn |
| Jun 30, 2023 | 224.37 Mn |
| Mar 31, 2023 | 109.43 Mn |
| Dec 31, 2022 | 123.55 Mn |
| Sep 30, 2022 | 116.31 Mn |
| Jun 30, 2022 | 205.74 Mn |
| Mar 31, 2022 | 222.60 Mn |
| Dec 31, 2021 | 293.83 Mn |
| Sep 30, 2021 | 393.50 Mn |
Lyell Immunopharma Cash & Equivalents 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=cash-and-equivalents&ticker=LYEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LYEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();