Axe Compute (AGPU) EBITDA Margin (2011 - 2019)

Axe Compute's (AGPU) quarterly EBITDA Margin came in at 111.68% in Q1 2019, up 31594.0% year-on-year from N/an in Q1 2018, and down 31.0% quarter-over-quarter from 85.25% in Q4 2018.

Axe Compute (AGPU) EBITDA Margin (2011 - 2019) Analysis & Trends

Axe Compute has disclosed EBITDA Margin across 9 years of filings, most recently posting 111.68% for Q1 2019.

  • EBITDA Margin for Q1 2019 came in at 111.68%, up 31594.0% year-over-year; the trailing twelve-month figure through Mar 2019 was 432.64% (up 48346.0% YoY), and the FY2018 annual result was 61.29%, up 112169.0% from the prior year.
  • EBITDA Margin came in at 111.68% for Q1 2019 at Axe Compute, down from 85.25% in the prior quarter.
  • In the past five years, EBITDA Margin ranged from a high of 85.25% in Q4 2018 to a low of 2994.84% in Q2 2016.
  • The 5-year median for EBITDA Margin is 759.82% (2018), against an average of 993.42%.
  • Across the five-year window, EBITDA Margin plunged 248832 bps in 2016 and jumped 171934 bps in 2018, its largest moves.
  • Axe Compute's EBITDA Margin stood at 1234.75% in 2015, then soared by 57 bps to 527.25% in 2016, then plunged by 147 bps to 1302.26% in 2017, then surged by 93 bps to 85.25% in 2018, then slumped by 31 bps to 111.68% in 2019.
  • The last three EBITDA Margin figures came in at 111.68% (Q1 2019), 85.25% (Q4 2018), and 759.82% (Q3 2018), per Business Quant data.

Peer Comparison

# Company Market Cap Enterprise Value Gross Profit (Qtr) EBITDA Margin (Qtr)
1 Microsoft 2,819.83 Bn 2,741.56 Bn 56.06 Bn 46.33%
2 Alarum Technologies 1,056.91 Bn 1,042.76 Bn 7.23 Mn 3.18%
3 Oracle 530.68 Bn 492.11 Bn 15.14 Bn 31.79%
4 Palantir Technologies 306.85 Bn 298.93 Bn 1.42 Bn 46.18%
5 Palo Alto Networks 199.03 Bn 194.49 Bn 1.91 Bn 15.30%
6 CrowdStrike Holdings 170.56 Bn 167.51 Bn 993.68 Mn 1.06%
7 Fortinet 106.91 Bn 103.62 Bn 1.49 Bn 31.36%
8 Synopsys 86.43 Bn 86.31 Bn 1.77 Bn 8.43%
9 Cloudflare 79.42 Bn 78.48 Bn 455.60 Mn -9.69%
10 Axe Compute 150.20 Mn 143.30 Mn - -

Historic Data

Download Data
DateValue
Mar 31, 2019 -111.68%
Dec 31, 2018 -85.25%
Sep 30, 2018 -759.82%
Jun 30, 2018 -661.88%
Mar 31, 2018 -427.61%
Dec 31, 2017 -1,302.26%
Sep 30, 2017 -650.40%
Jun 30, 2017 -2,381.22%
Mar 31, 2017 -766.04%
Dec 31, 2016 -527.25%
Sep 30, 2016 -785.18%
Jun 30, 2016 -2,994.84%
Mar 31, 2016 -2,242.94%
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 -113.50%
Sep 30, 2014 19.98%
Jun 30, 2014 -22.51%