Lyell Immunopharma (LYEL) Total Liabilities (2020 - 2026)
Lyell Immunopharma (LYEL) recorded Total Liabilities of $77.34 million in Q2 2026, down 10.6% from $86.53 million a year earlier but up 0.5% from the prior quarter.
Lyell Immunopharma (LYEL) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Lyell Immunopharma reported Total Liabilities of $91.85 million, down 15.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -40.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $108.04 million in FY2024 (+13.6%), $95.08 million in FY2023 (-8.9%), $104.31 million in FY2022 (-47.2%) and $197.62 million in FY2021 (-83.5%).
- Quarterly Total Liabilities has ranged from $76.96 million in Q1 2026 to $211.86 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for five consecutive quarters, with an average decline of 6.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 13.6% in Q4 2024, against a decline of 83.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $76.96 million (Q1 2026), $91.85 million (Q4 2025) and $78.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.46 Bn | 1,139.04 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 648.38 Bn | 568.24 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 504.43 Bn | 477.54 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 367.73 Bn | 322.11 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 303.35 Bn | 267.34 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 268.20 Bn | 241.88 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 242.55 Bn | 197.95 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.80 Bn | 169.00 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 173.31 Bn | 119.95 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Lyell Immunopharma | 219.15 Mn | -805.81 Mn | - | 77.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.34 Mn |
| Mar 31, 2026 | 76.96 Mn |
| Dec 31, 2025 | 91.85 Mn |
| Sep 30, 2025 | 78.84 Mn |
| Jun 30, 2025 | 86.53 Mn |
| Mar 31, 2025 | 93.28 Mn |
| Dec 31, 2024 | 108.04 Mn |
| Sep 30, 2024 | 88.52 Mn |
| Jun 30, 2024 | 87.64 Mn |
| Mar 31, 2024 | 91.06 Mn |
| Dec 31, 2023 | 95.08 Mn |
| Sep 30, 2023 | 97.42 Mn |
| Jun 30, 2023 | 98.50 Mn |
| Mar 31, 2023 | 96.62 Mn |
| Dec 31, 2022 | 104.31 Mn |
| Sep 30, 2022 | 157.24 Mn |
| Jun 30, 2022 | 153.63 Mn |
| Mar 31, 2022 | 190.85 Mn |
| Dec 31, 2021 | 197.62 Mn |
| Sep 30, 2021 | 211.86 Mn |
Lyell Immunopharma Total Liabilities 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=total-liabilities&ticker=LYEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LYEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();