Alpha Compute (ALP) Net Margin (2009 - 2025)
Alpha Compute's Net Margin came in at -39821.65% for FY2026 (year ended Mar 31, 2026).
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Analysis
Alpha Compute (ALP) Net Margin (2009 - 2025) Analysis & Trends
Going back to FY2009, Alpha Compute's Net Margin data covers 9 fiscal years.
- Net Margin carries a five-year change of -22632.65 percentage points (FY2021 to FY2026).
- The FY2026 figure represents the lowest annual Net Margin since FY2009.
- Per Business Quant, earlier fiscal years put Net Margin at -7.00% in FY2025 (-19.22 pp), 12.23% in FY2024 (+79.87 pp), -67.65% in FY2023 and 9584.50% in FY2022 (+26773.50 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,155.80 Bn | 1,124.39 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 630.65 Bn | 549.18 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 502.74 Bn | 475.85 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 375.34 Bn | 329.72 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 301.36 Bn | 265.35 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 265.02 Bn | 238.70 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 239.16 Bn | 194.55 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 192.63 Bn | 166.82 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 171.82 Bn | 118.47 Bn | 10.94 Bn | -1.65% |
| 10 | Alpha Compute | 575,225.58 | -15.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -52.50% |
| Dec 31, 2023 | -59,656.06% |
| Sep 30, 2023 | -15,630.30% |
| Dec 31, 2022 | -373.77% |
| Sep 30, 2022 | -2,711.43% |
| Jun 30, 2022 | -28,816.67% |
| Dec 31, 2018 | 1,615.79% |
| Sep 30, 2018 | 1,223.53% |
| Jun 30, 2018 | 1,564.29% |
| Sep 30, 2010 | -94.47% |
| Mar 31, 2010 | -142.10% |
| Dec 31, 2009 | 8,318.37% |
| Sep 30, 2009 | 206.01% |
| Jun 30, 2009 | 51,733.33% |
| Mar 31, 2009 | 960.67% |
API Access
Alpha Compute Net Margin 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=net-margin&ticker=ALP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();