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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Lyell Immunopharma | 411.74 Mn | -470.71 Mn | - | 48.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.30 Mn |
| 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 |
API Access
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_KEYimport 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();