Alpha Compute (ALP) Operating Margin (2022 - 2025)
Alpha Compute (ALP) recorded Operating Margin of -23810.31% in FY2026 (year ended Mar 31, 2026).
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Analysis
Alpha Compute (ALP) Operating Margin (2022 - 2025) Analysis & Trends
Starting with FY2019, Alpha Compute's Operating Margin history includes 8 fiscal years.
- Annual Operating Margin has a five-year change of -11370.31 percentage points (FY2021 to FY2026).
- The FY2026 figure is the lowest annual Operating Margin in data going back to FY2019.
- Per Business Quant data, ALP's Operating Margin was 7.67% in FY2025 (+2.94 pp), 4.73% in FY2024 (+24.77 pp), -20.04% in FY2023 and 7794.00% in FY2022 (+20234.00 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 28.37% |
| 10 | Alpha Compute | 591,872.01 | -15.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 183.58% |
| Dec 31, 2023 | -6,098.48% |
| Sep 30, 2023 | -17,969.70% |
| Dec 31, 2022 | -237.64% |
| Sep 30, 2022 | -10,437.14% |
| Jun 30, 2022 | -68,116.67% |
API Access
Alpha Compute Operating 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=operating-margin&ticker=ALP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();