Lunai Bioworks (LNAI) Total Current Liabilities (2011 - 2026)
Lunai Bioworks' Total Current Liabilities came in at $19.28 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 33.1% from $28.84 million a year earlier and down 3.6% from the prior quarter.
Lunai Bioworks (LNAI) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Lunai Bioworks' Total Current Liabilities was $29.16 million, down 3.8% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 85.3% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $30.31 million in FY2024 (+175.0%), $11.02 million in FY2023 (+70.9%), $6.45 million in FY2022 (+242.1%) and $1.89 million in FY2021 (+41.3%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Current Liabilities since fiscal Q2 2024.
- Year-over-year, Total Current Liabilities has declined for four consecutive quarters, with growth averaging 46.0% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2023 (growth of 491.4%), and the weakest in fiscal Q3 2026 (a decline of 33.1%).
- Business Quant data shows LNAI's Total Current Liabilities at $20 million (Q2 2026), $19.72 million (Q1 2026) and $29.16 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | Lunai Bioworks | 5.81 Mn | 1.06 Mn | 20,942.00 | 19.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 19.28 Mn |
| Dec 31, 2025 | 20.00 Mn |
| Sep 30, 2025 | 19.72 Mn |
| Jun 30, 2025 | 29.16 Mn |
| Mar 31, 2025 | 28.84 Mn |
| Dec 31, 2024 | 28.61 Mn |
| Sep 30, 2024 | 23.04 Mn |
| Jun 30, 2024 | 30.31 Mn |
| Mar 31, 2024 | 20.87 Mn |
| Dec 31, 2023 | 13.76 Mn |
| Sep 30, 2023 | 10.10 Mn |
| Jun 30, 2023 | 11.02 Mn |
| Mar 31, 2023 | 11.77 Mn |
| Dec 31, 2022 | 11.29 Mn |
| Sep 30, 2022 | 7.16 Mn |
| Jun 30, 2022 | 6.45 Mn |
| Mar 31, 2022 | 7.51 Mn |
| Dec 31, 2021 | 6.20 Mn |
| Sep 30, 2021 | 1.21 Mn |
| Jun 30, 2021 | 1.89 Mn |
Lunai Bioworks 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=LNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "LNAI", "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=LNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();