Alector (ALEC) Total Current Liabilities (2018 - 2026)
Alector's Total Current Liabilities came in at $34.24 million for Q2 2026, down 59.4% from $84.35 million a year earlier and down 16.4% from the prior quarter.
Alector (ALEC) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Alector's Total Current Liabilities was $69.5 million, down 44.4% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $125.06 million in FY2024 (-29.7%), $177.95 million in FY2023 (+89.7%), $93.81 million in FY2022 (-32.8%) and $139.56 million in FY2021 (+105.0%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities in data going back to Q4 2018.
- Year-over-year, Total Current Liabilities has declined for eight consecutive quarters, with an average decline of 40.6% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2022 (growth of 123.0%), and the weakest in Q1 2026 (a decline of 62.7%).
- Business Quant data shows ALEC's Total Current Liabilities at $40.97 million (Q1 2026), $69.5 million (Q4 2025) and $79.96 million (Q3 2025) in the three quarters before Q2 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 | Alector | 214.38 Mn | -712.06 Mn | - | 34.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.24 Mn |
| Mar 31, 2026 | 40.97 Mn |
| Dec 31, 2025 | 69.50 Mn |
| Sep 30, 2025 | 79.96 Mn |
| Jun 30, 2025 | 84.35 Mn |
| Mar 31, 2025 | 109.77 Mn |
| Dec 31, 2024 | 125.06 Mn |
| Sep 30, 2024 | 142.53 Mn |
| Jun 30, 2024 | 147.68 Mn |
| Mar 31, 2024 | 164.92 Mn |
| Dec 31, 2023 | 177.95 Mn |
| Sep 30, 2023 | 155.40 Mn |
| Jun 30, 2023 | 132.27 Mn |
| Mar 31, 2023 | 99.30 Mn |
| Dec 31, 2022 | 93.81 Mn |
| Sep 30, 2022 | 160.89 Mn |
| Jun 30, 2022 | 149.41 Mn |
| Mar 31, 2022 | 142.88 Mn |
| Dec 31, 2021 | 139.56 Mn |
| Sep 30, 2021 | 132.82 Mn |
Alector 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=ALEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ALEC", "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=ALEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();