Axe Compute (AGPU) Times Interest Earned (2010 - 2016)
Axe Compute's (AGPU) Times Interest Earned came in at -294414.00 for FY2016, compared with -1.27 in FY2015.
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Analysis
Axe Compute (AGPU) Times Interest Earned (2010 - 2016) Analysis & Trends
Since FY2010, Axe Compute has reported Times Interest Earned for 7 years.
- The FY2016 figure stands as the lowest annual Times Interest Earned in data going back to FY2010.
- Business Quant data shows AGPU's Times Interest Earned at -1.27 in FY2015, -1.08 in FY2014, -1.29 in FY2013 and -2.70 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 48.39 |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 5.38 |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | -66.59 |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 4.40 |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | -1.48 |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 15.43 |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 8.84 |
| 10 | Axe Compute | 223.83 Mn | 184.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | -61,577.33 |
| Dec 31, 2015 | -104.60 |
| Sep 30, 2015 | -2.64 |
| Jun 30, 2015 | 0.00 |
| Mar 31, 2015 | 0.22 |
| Dec 31, 2014 | -0.88 |
| Sep 30, 2014 | 0.60 |
| Jun 30, 2014 | -4.85 |
| Mar 31, 2014 | -12.48 |
| Dec 31, 2013 | -45.19 |
| Sep 30, 2013 | -0.67 |
| Jun 30, 2013 | -0.96 |
| Mar 31, 2013 | -0.96 |
| Dec 31, 2012 | -2.15 |
| Sep 30, 2012 | -13.46 |
| Jun 30, 2012 | -1.40 |
| Mar 31, 2012 | -1.10 |
| Dec 31, 2011 | 1.51 |
| Sep 30, 2011 | -2.07 |
| Jun 30, 2011 | -3.02 |
API Access
Axe Compute Times Interest Earned 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=times-interest-earned&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "AGPU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=times-interest-earned&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();