Alpha Compute (ALP) Change in Receivables (2013 - 2023)
Alpha Compute's Change in Receivables came in at -$21,000 for FY2026 (year ended Mar 31, 2026).
Analysis
Alpha Compute (ALP) Change in Receivables (2013 - 2023) Analysis & Trends
Going back to FY2021, Alpha Compute's Change in Receivables data covers 6 fiscal years.
- The five-year range for annual Change in Receivables is -$1.5 million (FY2022) to $3.31 million (FY2025).
- Per Business Quant, earlier fiscal years put Change in Receivables at $3.31 million in FY2025, -$121,122 in FY2024, -$303,286 in FY2023 and -$1.5 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.35 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.37 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.09 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 333.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Alpha Compute | 591,872.01 | -15.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 205,000.00 |
| Jun 30, 2023 | -17,000.00 |
| Dec 31, 2022 | 394,821.00 |
| Sep 30, 2022 | 5,000.00 |
| Jun 30, 2022 | -44,000.00 |
| Dec 31, 2021 | -346,000.00 |
| Jun 30, 2021 | -215,000.00 |
| Mar 31, 2021 | -88,000.00 |
| Dec 31, 2020 | 73,000.00 |
| Dec 31, 2014 | -18,287.00 |
| Jun 30, 2014 | 207,195.00 |
| Dec 31, 2013 | 33,395.00 |
| Sep 30, 2013 | 402,028.00 |
| Jun 30, 2013 | -205,346.00 |
API Access
Alpha Compute 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=ALP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "ALP", "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=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();