Lyell Immunopharma (LYEL) Operating Expenses (2020 - 2026)
Lyell Immunopharma (LYEL) posted Operating Expenses of $47.34 million for Q2 2026, up 0.4% from $47.15 million a year earlier and up 7.0% from the prior quarter.
Lyell Immunopharma (LYEL) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Lyell Immunopharma was $256.52 million, down 28.0% year-over-year; for FY2025, it was $269.44 million, down 24.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior years, Lyell Immunopharma's Operating Expenses was $358.82 million in FY2024 (+45.2%), $247.14 million in FY2023 (-9.1%), $271.74 million in FY2022 (+20.5%) and $225.43 million in FY2021 (+2.6%).
- Quarterly Operating Expenses has run from a low of $37.27 million in Q3 2025 to a high of $201.16 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 16.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 238.0%; the weakest was Q4 2025, with a decline of 36.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $44.26 million (Q1 2026), $127.65 million (Q4 2025) and $37.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.72 Bn | 1,135.31 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 647.94 Bn | 567.80 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 504.05 Bn | 477.16 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.05 Bn | 322.43 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 303.17 Bn | 267.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 269.10 Bn | 242.78 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 242.44 Bn | 197.84 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 195.21 Bn | 169.41 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.59 Bn | 119.24 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Lyell Immunopharma | 221.37 Mn | -803.60 Mn | - | 47.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.34 Mn |
| Mar 31, 2026 | 44.26 Mn |
| Dec 31, 2025 | 127.65 Mn |
| Sep 30, 2025 | 37.27 Mn |
| Jun 30, 2025 | 47.15 Mn |
| Mar 31, 2025 | 57.37 Mn |
| Dec 31, 2024 | 201.16 Mn |
| Sep 30, 2024 | 50.54 Mn |
| Jun 30, 2024 | 51.54 Mn |
| Mar 31, 2024 | 55.58 Mn |
| Dec 31, 2023 | 59.52 Mn |
| Sep 30, 2023 | 59.06 Mn |
| Jun 30, 2023 | 65.93 Mn |
| Mar 31, 2023 | 62.62 Mn |
| Dec 31, 2022 | 63.17 Mn |
| Sep 30, 2022 | 66.44 Mn |
| Jun 30, 2022 | 73.00 Mn |
| Mar 31, 2022 | 69.13 Mn |
| Dec 31, 2021 | 50.36 Mn |
| Sep 30, 2021 | 51.92 Mn |
Lyell Immunopharma Operating Expenses 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=operating-expenses&ticker=LYEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LYEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();