Axe Compute (AGPU) EBITDA Margin (2011 - 2019)
Axe Compute (AGPU) posted EBITDA Margin of -829.08% for Q1 2019, down 471.10 percentage points from -357.98% a year earlier but up 1168.62 percentage points from the prior quarter.
Powered by 
Analysis
Axe Compute (AGPU) EBITDA Margin (2011 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, EBITDA Margin at Axe Compute was -705.71%, up 69.02 percentage points year-over-year; for FY2018, it was -475.89%, up 360.23 percentage points from FY2017.
- Annual EBITDA Margin shows a five-year change of -332.81 percentage points (FY2013 to FY2018).
- In prior years, Axe Compute's EBITDA Margin was -836.11% in FY2017 (-660.67 pp), -175.44% in FY2016 (-111.60 pp), -63.84% in FY2015 (-27.74 pp) and -36.10% in FY2014 (+106.97 pp).
- Quarterly EBITDA Margin has run from a low of -2405.83% in Q4 2017 to a high of 35.61% in Q1 2015 over five years.
- On a year-over-year basis, EBITDA Margin increased in four of the last eight quarters, with an average year-over-year change of -319.44 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2018, with a gain of 408.12 percentage points; the weakest was Q4 2017, with a drop of 2331.99 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -1997.70% (Q4 2018), -125.03% (Q3 2018) and -29.67% (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 57.36% |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 23.10% |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | -15.49% |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 46.55% |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 14.39% |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 52.19% |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 69.70% |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 11.50% |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 24.17% |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -829.08% |
| Dec 31, 2018 | -1,997.70% |
| Sep 30, 2018 | -125.03% |
| Jun 30, 2018 | -29.67% |
| Mar 31, 2018 | -357.98% |
| Dec 31, 2017 | -2,405.83% |
| Sep 30, 2017 | -33.35% |
| Jun 30, 2017 | -75.15% |
| Mar 31, 2017 | -24.97% |
| Dec 31, 2016 | -73.84% |
| Sep 30, 2016 | -122.16% |
| Jun 30, 2016 | -204.98% |
| Mar 31, 2016 | -369.75% |
| Dec 31, 2015 | -202.76% |
| Sep 30, 2015 | -137.88% |
| Jun 30, 2015 | 7.81% |
| Mar 31, 2015 | 35.61% |
| Dec 31, 2014 | -102.09% |
| Sep 30, 2014 | 24.58% |
| Jun 30, 2014 | -17.35% |
API Access
Axe Compute EBITDA 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=ebitda-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();