Axe Compute (AGPU) EBIT Margin (2011 - 2019)
Axe Compute's EBIT Margin came in at -844.57% for Q1 2019, down 482.17 percentage points from -362.39% a year earlier but up 1166.64 percentage points from the prior quarter.
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Analysis
Axe Compute (AGPU) EBIT Margin (2011 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, Axe Compute reported EBIT Margin of -719.17%, up 63.54 percentage points year-over-year; for FY2018, it was -486.34%, up 360.70 percentage points from FY2017.
- EBIT Margin carries a five-year change of -311.49 percentage points (FY2013 to FY2018).
- Going back by year, EBIT Margin was -847.04% in FY2017 (-653.56 pp), -193.48% in FY2016 (-117.64 pp), -75.85% in FY2015 (-33.12 pp) and -42.73% in FY2014 (+132.13 pp).
- The five-year range for quarterly EBIT Margin is -2413.87% (Q4 2017) to 22.47% (Q1 2015).
- Year-over-year, EBIT Margin increased in four of the last eight quarters, with an average year-over-year change of -318.23 percentage points.
- The fastest year-over-year change in EBIT Margin over five years came in Q4 2018 (a gain of 402.67 percentage points), and the weakest in Q4 2017 (a drop of 2325.76 percentage points).
- Business Quant data shows AGPU's EBIT Margin at -2011.20% (Q4 2018), -144.58% (Q3 2018) and -36.06% (Q2 2018) in the three quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,965.60 Bn | 3,888.76 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 226.19 Bn | 177.01 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 104.39 Bn | 87.92 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 96.94 Bn | 85.51 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 41.16 Bn | 14.60 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 34.35 Bn | 21.44 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 27.91 Bn | 25.12 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 18.30 Bn | 9.99 Bn | 651.35 Mn | 9.24% |
| 9 | GoDaddy | 14.31 Bn | 9.89 Bn | 828.20 Mn | 26.39% |
| 10 | Axe Compute | 167.13 Mn | 127.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -844.57% |
| Dec 31, 2018 | -2,011.20% |
| Sep 30, 2018 | -144.58% |
| Jun 30, 2018 | -36.06% |
| Mar 31, 2018 | -362.39% |
| Dec 31, 2017 | -2,413.87% |
| Sep 30, 2017 | -45.04% |
| Jun 30, 2017 | -91.46% |
| Mar 31, 2017 | -35.58% |
| Dec 31, 2016 | -88.12% |
| Sep 30, 2016 | -137.24% |
| Jun 30, 2016 | -229.66% |
| Mar 31, 2016 | -391.46% |
| Dec 31, 2015 | -214.24% |
| Sep 30, 2015 | -159.43% |
| Jun 30, 2015 | -0.37% |
| Mar 31, 2015 | 22.47% |
| Dec 31, 2014 | -113.50% |
| Sep 30, 2014 | 19.98% |
| Jun 30, 2014 | -22.51% |
API Access
Axe Compute EBIT 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=ebit-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();