Axe Compute (AGPU) Net Margin (2011 - 2019)
Axe Compute's Net Margin was -1290.23% in Q1 2019, down 862.61 percentage points from -427.61% a year earlier and down 184.08 percentage points from the prior quarter.
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Analysis
Axe Compute (AGPU) Net Margin (2011 - 2019) Analysis & Trends
On a trailing twelve-month basis, Axe Compute's Net Margin was -925.64% through Mar 31, 2019, down 205.18 percentage points year-over-year; for FY2018, it was -714.51%, up 202.21 percentage points from FY2017.
- Net Margin shows a five-year change of +1294.84 percentage points (FY2013 to FY2018).
- In earlier years, Net Margin was -916.72% in FY2017 (+512.87 pp), -1429.59% in FY2016 (-697.49 pp), -732.10% in FY2015 (-13.96 pp) and -718.14% in FY2014 (+1291.21 pp).
- The Q1 2019 figure marks the lowest quarterly Net Margin since Q2 2017.
- Compared with a year earlier, Net Margin has declined for three straight quarters, with an average year-over-year change of +156.95 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q3 2014 (a gain of 3405.36 percentage points); the worst was Q2 2016 (a drop of 2491.86 percentage points).
- Per Business Quant data, AGPU's Net Margin in the three quarters before Q1 2019 was -1106.15% (Q4 2018), -759.82% (Q3 2018) and -661.88% (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 39.74% |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 12.62% |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | -24.42% |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 18.25% |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | -32.70% |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | -24.31% |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 49.82% |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 167.85% |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 7.22% |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -1,290.23% |
| Dec 31, 2018 | -1,106.15% |
| Sep 30, 2018 | -759.82% |
| Jun 30, 2018 | -661.88% |
| Mar 31, 2018 | -427.61% |
| Dec 31, 2017 | -510.85% |
| Sep 30, 2017 | -650.40% |
| Jun 30, 2017 | -2,381.22% |
| Mar 31, 2017 | -766.04% |
| Dec 31, 2016 | -525.04% |
| Sep 30, 2016 | -784.22% |
| Jun 30, 2016 | -2,998.39% |
| Mar 31, 2016 | -2,245.88% |
| Dec 31, 2015 | -1,234.75% |
| Sep 30, 2015 | -1,301.29% |
| Jun 30, 2015 | -506.52% |
| Mar 31, 2015 | -149.26% |
| Dec 31, 2014 | -1,426.73% |
| Sep 30, 2014 | -280.73% |
| Jun 30, 2014 | -545.39% |
API Access
Axe Compute Net Margin 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=net-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();