Alpha Compute (ALP) EPS (Diluted) (2009 - 2025)
Alpha Compute (ALP) reported EPS (Diluted) of -$208.84 for FY2026 (year ended Mar 31, 2026).
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Analysis
Alpha Compute (ALP) EPS (Diluted) (2009 - 2025) Analysis & Trends
Dating back to FY2013, Alpha Compute's EPS (Diluted) record includes 14 fiscal years.
- Five-year annual EPS (Diluted) spans a low of -$1,040 in FY2023 and a high of $466.68 in FY2024.
- According to Business Quant data, EPS (Diluted) came in at -$228.57 in FY2025, $466.68 in FY2024, -$1,040 in FY2023 and -$43.51 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -0.04 |
| 10 | Alpha Compute | 591,872.01 | -15.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -70.90 |
| Sep 30, 2025 | -438.25 |
| Dec 31, 2024 | -22.74 |
| Sep 30, 2024 | -70.25 |
| Jun 30, 2024 | -85.54 |
| Dec 31, 2023 | -811.48 |
| Sep 30, 2023 | -106.31 |
| Jun 30, 2023 | -121.99 |
| Dec 31, 2022 | -31.90 |
| Sep 30, 2022 | -4.04 |
| Jun 30, 2022 | -7.37 |
| Dec 31, 2021 | -14.97 |
| Sep 30, 2021 | -12.68 |
| Jun 30, 2021 | -13.07 |
| Mar 31, 2021 | -49.00 |
| Dec 31, 2020 | -5.41 |
| Sep 30, 2020 | -11.21 |
| Jun 30, 2020 | -3.18 |
| Mar 31, 2020 | 10.24 |
| Dec 31, 2019 | 0.27 |
API Access
Alpha Compute EPS (Diluted) 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=eps-diluted&ticker=ALP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();