Alpha Compute (ALP) Price to Book (2009 - 2026)
Alpha Compute's (ALP) Price to Book stood at 0.01 in FY2026 (year ended Mar 31, 2026).
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Analysis
Alpha Compute (ALP) Price to Book (2009 - 2026) Analysis & Trends
Starting with FY2009, Alpha Compute's Price to Book history includes 17 fiscal years.
- The FY2026 figure is the highest annual Price to Book since FY2023.
- Per Business Quant data, ALP's Price to Book was 0.00 in FY2025 (-84.8%), 0.00 in FY2024 (-99.1%), 0.13 in FY2023 (-68.1%) and 0.40 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Alpha Compute | 549,331.21 | -15.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.02 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.03 |
| Dec 31, 2024 | 0.02 |
| Sep 30, 2024 | 1.88 |
| Jun 30, 2024 | 0.67 |
| Mar 31, 2024 | 1.34 |
| Dec 31, 2023 | 0.30 |
| Sep 30, 2023 | 0.16 |
| Jun 30, 2023 | 0.25 |
| Mar 31, 2023 | 0.22 |
| Dec 31, 2022 | 0.17 |
| Sep 30, 2022 | 0.20 |
| Jun 30, 2022 | 0.23 |
| Mar 31, 2022 | 0.21 |
| Dec 31, 2021 | 0.33 |
| Sep 30, 2021 | 0.62 |
| Jun 30, 2021 | 0.64 |
| Mar 31, 2021 | 1.01 |
| Dec 31, 2020 | 0.56 |
API Access
Alpha Compute Price to Book 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=price-to-book&ticker=ALP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();