Alector (ALEC) Cash & Equivalents (2017 - 2026)
Alector (ALEC) posted Cash & Equivalents of $59.92 million for Q2 2026, up 33.8% from $44.77 million a year earlier but down 22.1% from the prior quarter.
Alector (ALEC) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Alector's Cash & Equivalents came in at $65.8 million, up 99.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Alector's Cash & Equivalents was $33.02 million in FY2024 (-55.7%), $74.56 million in FY2023 (-51.7%), $154.32 million in FY2022 (-53.1%) and $329.15 million in FY2021 (+558.7%).
- Quarterly Cash & Equivalents has run from a low of $33.02 million in Q4 2024 to a high of $516.53 million in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 21.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 558.7%; the weakest was Q3 2022, with a decline of 64.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $76.96 million (Q1 2026), $65.8 million (Q4 2025) and $76.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Alector | 284.06 Mn | -489.98 Mn | - | 75.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 75.47 Mn |
| Jun 30, 2026 | 59.92 Mn |
| Mar 31, 2026 | 76.96 Mn |
| Dec 31, 2025 | 65.80 Mn |
| Sep 30, 2025 | 76.50 Mn |
| Jun 30, 2025 | 44.77 Mn |
| Mar 31, 2025 | 37.97 Mn |
| Dec 31, 2024 | 33.02 Mn |
| Sep 30, 2024 | 37.16 Mn |
| Jun 30, 2024 | 47.55 Mn |
| Mar 31, 2024 | 72.55 Mn |
| Dec 31, 2023 | 74.56 Mn |
| Sep 30, 2023 | 101.96 Mn |
| Jun 30, 2023 | 131.54 Mn |
| Mar 31, 2023 | 195.56 Mn |
| Dec 31, 2022 | 154.32 Mn |
| Sep 30, 2022 | 184.23 Mn |
| Jun 30, 2022 | 172.27 Mn |
| Mar 31, 2022 | 454.62 Mn |
| Dec 31, 2021 | 329.15 Mn |
Alector Cash & Equivalents 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=cash-and-equivalents&ticker=ALEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();