Alpha Compute (ALP) Non-Current Debt (2017 - 2021)
Alpha Compute's Non-Current Debt was -$1 million in FY2021 (year ended Mar 31, 2021), compared with $1 million in FY2020.
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Analysis
Alpha Compute (ALP) Non-Current Debt (2017 - 2021) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier fiscal years was $1 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Alpha Compute | 591,872.01 | -15.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 150,000.00 |
| Mar 31, 2021 | 150,000.00 |
| Dec 31, 2020 | 300,000.00 |
| Sep 30, 2020 | 300,000.00 |
| Jun 30, 2020 | 300,000.00 |
| Mar 31, 2020 | 300,000.00 |
| Dec 31, 2019 | 3.31 Mn |
| Sep 30, 2019 | 567,000.00 |
| Jun 30, 2019 | 665,000.00 |
| Mar 31, 2019 | 663,000.00 |
| Sep 30, 2018 | 3.72 Mn |
| Jun 30, 2018 | 236,000.00 |
| Mar 31, 2018 | 250,000.00 |
| Dec 31, 2017 | 3.32 Mn |
| Sep 30, 2017 | 230,000.00 |
| Jun 30, 2017 | 227,688.00 |
| Mar 31, 2017 | 181,000.00 |
API Access
Alpha Compute Non-Current Debt 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=non-current-debt&ticker=ALP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ALP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();