LENZ Therapeutics (LENZ) Total Current Liabilities (2020 - 2026)
LENZ Therapeutics (LENZ) reported Total Current Liabilities of $17.21 million for Q2 2026, up 65.5% from $10.4 million a year earlier but down 33.3% from the prior quarter.
LENZ Therapeutics (LENZ) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, LENZ Therapeutics posted Total Current Liabilities of $21.19 million, up 103.6% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $10.41 million in FY2024 (-43.8%), $18.51 million in FY2023 (+41.9%), $13.04 million in FY2022 (+7.4%) and $12.14 million in FY2021 (-62.1%).
- Five-year quarterly Total Current Liabilities spans a low of $7.71 million in Q3 2024 and a high of $25.81 million in Q1 2026.
- Year over year, Total Current Liabilities has now increased in each of the last five quarters, with growth averaging 45.8% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2026 (growth of 201.2%); the low point was Q4 2021 (a decline of 62.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.81 million (Q1 2026), $21.19 million (Q4 2025) and $16.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | LENZ Therapeutics | 128.82 Mn | -839.21 Mn | 2.93 Mn | 17.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.75 Mn |
| Jun 30, 2026 | 17.21 Mn |
| Mar 31, 2026 | 25.81 Mn |
| Dec 31, 2025 | 21.19 Mn |
| Sep 30, 2025 | 16.32 Mn |
| Jun 30, 2025 | 10.40 Mn |
| Mar 31, 2025 | 8.57 Mn |
| Dec 31, 2024 | 10.41 Mn |
| Sep 30, 2024 | 7.71 Mn |
| Jun 30, 2024 | 8.58 Mn |
| Mar 31, 2024 | 18.89 Mn |
| Dec 31, 2023 | 18.51 Mn |
| Sep 30, 2023 | 12.54 Mn |
| Jun 30, 2023 | 12.27 Mn |
| Mar 31, 2023 | 14.34 Mn |
| Dec 31, 2022 | 13.04 Mn |
| Sep 30, 2022 | 13.52 Mn |
| Jun 30, 2022 | 12.07 Mn |
| Mar 31, 2022 | 12.77 Mn |
| Dec 31, 2021 | 12.14 Mn |
LENZ Therapeutics 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=LENZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "LENZ", "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=LENZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();