Alpha Compute (ALP) Depreciation & Amortization (CF) (2023 - 2024)
Alpha Compute (ALP) posted Depreciation & Amortization (CF) of $193,000 for FY2026 (year ended Mar 31, 2026), up 451.4% from $35,000 in FY2025.
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Analysis
Alpha Compute (ALP) Depreciation & Amortization (CF) (2023 - 2024) Analysis & Trends
Since FY2022, Alpha Compute has reported Depreciation & Amortization (CF) for 5 fiscal years.
- Annual Depreciation & Amortization (CF) shows a four-year compound annual growth rate of 272.7% (FY2022 to FY2026).
- The FY2026 figure stands as the highest annual Depreciation & Amortization (CF) in data going back to FY2022.
- Business Quant data shows ALP's Depreciation & Amortization (CF) at $35,000 in FY2025 (-35.2%), $54,000 in FY2024, $41,000 in FY2023 and $1,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Alpha Compute | 549,331.21 | -15.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 7,000.00 |
| Jun 30, 2024 | 8,000.00 |
| Sep 30, 2023 | 15,000.00 |
| Jun 30, 2023 | 11,000.00 |
API Access
Alpha Compute Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=ALP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();