Lyell Immunopharma (LYEL) Total Current Liabilities (2020 - 2026)
Lyell Immunopharma's Total Current Liabilities was $39.87 million in Q2 2026, up 8.0% from $36.9 million a year earlier and up 7.9% from the prior quarter.
Lyell Immunopharma (LYEL) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Lyell Immunopharma came in at $49.41 million, down 8.1% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $53.79 million in FY2024 (+55.8%), $34.52 million in FY2023 (-6.8%), $37.03 million in FY2022 (-20.8%) and $46.74 million in FY2021 (-5.2%).
- Quarterly Total Current Liabilities has moved between $30.8 million (Q1 2023) and $59.28 million (Q3 2021) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 10.4%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2024 (growth of 55.8%); the worst was Q2 2023 (a decline of 31.6%).
- Per Business Quant data, LYEL's Total Current Liabilities in the three quarters before Q2 2026 was $36.95 million (Q1 2026), $49.41 million (Q4 2025) and $31.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Lyell Immunopharma | 227.89 Mn | 227.89 Mn | - | 39.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.87 Mn |
| Mar 31, 2026 | 36.95 Mn |
| Dec 31, 2025 | 49.41 Mn |
| Sep 30, 2025 | 31.88 Mn |
| Jun 30, 2025 | 36.90 Mn |
| Mar 31, 2025 | 41.29 Mn |
| Dec 31, 2024 | 53.79 Mn |
| Sep 30, 2024 | 33.51 Mn |
| Jun 30, 2024 | 30.88 Mn |
| Mar 31, 2024 | 32.35 Mn |
| Dec 31, 2023 | 34.52 Mn |
| Sep 30, 2023 | 35.06 Mn |
| Jun 30, 2023 | 34.39 Mn |
| Mar 31, 2023 | 30.80 Mn |
| Dec 31, 2022 | 37.03 Mn |
| Sep 30, 2022 | 51.22 Mn |
| Jun 30, 2022 | 50.29 Mn |
| Mar 31, 2022 | 41.06 Mn |
| Dec 31, 2021 | 46.74 Mn |
| Sep 30, 2021 | 59.28 Mn |
Lyell Immunopharma Total Current 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-current-liabilities&ticker=LYEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=LYEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();