Alector (ALEC) Total Liabilities (2018 - 2026)
Alector (ALEC) recorded Total Liabilities of $212.83 million in Q2 2026, down 25.4% from $285.25 million a year earlier and down 7.3% from the prior quarter.
Alector (ALEC) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Alector reported Total Liabilities of $262.59 million, down 23.1% from FY2024.
- Annual Total Liabilities has declined for three straight years, though with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $341.5 million in FY2024 (-30.0%), $487.67 million in FY2023 (-14.9%), $573.21 million in FY2022 (+11.5%) and $513.93 million in FY2021 (+132.8%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q2 2021.
- On a year-over-year basis, Total Liabilities has declined for 14 consecutive quarters, with an average decline of 27.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 223.2% in Q1 2022, against a decline of 32.1% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $229.53 million (Q1 2026), $262.59 million (Q4 2025) and $277.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Alector | 214.38 Mn | -712.06 Mn | - | 212.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212.83 Mn |
| Mar 31, 2026 | 229.53 Mn |
| Dec 31, 2025 | 262.59 Mn |
| Sep 30, 2025 | 277.57 Mn |
| Jun 30, 2025 | 285.25 Mn |
| Mar 31, 2025 | 313.69 Mn |
| Dec 31, 2024 | 341.50 Mn |
| Sep 30, 2024 | 397.09 Mn |
| Jun 30, 2024 | 420.16 Mn |
| Mar 31, 2024 | 456.59 Mn |
| Dec 31, 2023 | 487.67 Mn |
| Sep 30, 2023 | 509.84 Mn |
| Jun 30, 2023 | 512.43 Mn |
| Mar 31, 2023 | 565.33 Mn |
| Dec 31, 2022 | 573.21 Mn |
| Sep 30, 2022 | 583.93 Mn |
| Jun 30, 2022 | 601.16 Mn |
| Mar 31, 2022 | 686.92 Mn |
| Dec 31, 2021 | 513.93 Mn |
| Sep 30, 2021 | 518.34 Mn |
Alector 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=ALEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ALEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();