Alpha Compute (ALP) Interest Expenses (2009 - 2025)
Alpha Compute's Interest Expenses came in at $171,000 for FY2026 (year ended Mar 31, 2026).
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Analysis
Alpha Compute (ALP) Interest Expenses (2009 - 2025) Analysis & Trends
Going back to FY2009, Alpha Compute's Interest Expenses data covers 17 fiscal years.
- The FY2026 figure represents the highest annual Interest Expenses since FY2020.
- Per Business Quant, earlier fiscal years put Interest Expenses at $41,000 in FY2025 (-44.6%), $74,000 in FY2024 (-29.5%), $105,000 in FY2023 (+182.8%) and $37,129 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 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 |
|---|---|
| Dec 31, 2025 | -40,575.00 |
| Dec 31, 2024 | -40,575.00 |
| Dec 31, 2023 | 9,000.00 |
| Sep 30, 2023 | 10,000.00 |
| Sep 30, 2022 | 9,000.00 |
| Jun 30, 2022 | 15,000.00 |
| Mar 31, 2022 | 1,000.00 |
| Dec 31, 2021 | 1,000.00 |
| Sep 30, 2021 | 7,000.00 |
| Jun 30, 2021 | 34,000.00 |
| Mar 31, 2021 | 5,000.00 |
| Dec 31, 2020 | 3,000.00 |
| Sep 30, 2020 | 47,000.00 |
| Jun 30, 2020 | 122,000.00 |
| Mar 31, 2020 | 961,000.00 |
| Dec 31, 2019 | -201,000.00 |
| Sep 30, 2019 | -108,000.00 |
| Jun 30, 2019 | 95,000.00 |
| Sep 30, 2018 | 9,000.00 |
| Jun 30, 2018 | 8,000.00 |
API Access
Alpha Compute Interest Expenses 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=interest-expenses&ticker=ALP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();