Alector (ALEC) Total Liabilities (2017 - 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.
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Analysis
Alector (ALEC) Total Liabilities (2017 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Alector | 284.06 Mn | -489.98 Mn | - | 49.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.21 Mn |
| 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 |
API Access
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_KEYimport 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();