Alector (ALEC) Change in Receivables (2018 - 2023)
Alector's Change in Receivables came in at -$10.47 million for Q4 2023, compared with -$3.9 million a year earlier.
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Analysis
Alector (ALEC) Change in Receivables (2018 - 2023) Analysis & Trends
For FY2023, Alector's Change in Receivables was -$2.59 million.
- Going back by year, Change in Receivables was -$4.8 million in FY2022 and $7.39 million in FY2021.
- The Q4 2023 figure represents the lowest quarterly Change in Receivables in data going back to Q1 2018.
- Business Quant data shows ALEC's Change in Receivables at $2.64 million (Q3 2023), $3.13 million (Q2 2023) and $2.11 million (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -188.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | -312.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 108.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -52.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Alector | 284.06 Mn | -489.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -10.47 Mn |
| Sep 30, 2023 | 2.64 Mn |
| Jun 30, 2023 | 3.13 Mn |
| Mar 31, 2023 | 2.11 Mn |
| Dec 31, 2022 | -3.90 Mn |
| Sep 30, 2022 | -2.33 Mn |
| Jun 30, 2022 | -4.00 Mn |
| Mar 31, 2022 | 5.43 Mn |
| Dec 31, 2021 | 5.81 Mn |
| Sep 30, 2021 | 1.58 Mn |
| Dec 31, 2018 | 476,000.00 |
| Jun 30, 2018 | -169,000.00 |
| Mar 31, 2018 | -69,000.00 |
API Access
Alector Change in Receivables 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=change-in-receivables&ticker=ALEC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=ALEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();