Axe Compute (AGPU) EBT Margin (2011 - 2019)
Axe Compute's EBT Margin was -844.57% in Q1 2019, down 482.17 percentage points from -362.39% a year earlier but up 1166.64 percentage points from the prior quarter.
Axe Compute (AGPU) EBT Margin (2011 - 2019) Analysis & Trends
On a trailing twelve-month basis, Axe Compute's EBT Margin was -719.17% through Mar 31, 2019, up 63.54 percentage points year-over-year; for FY2018, it was -486.34%, up 360.70 percentage points from FY2017.
- EBT Margin shows a five-year change of -175.52 percentage points (FY2013 to FY2018).
- In earlier years, EBT Margin was -847.04% in FY2017 (-653.56 pp), -193.48% in FY2016 (-57.90 pp), -135.58% in FY2015 (-53.16 pp) and -82.42% in FY2014 (+228.40 pp).
- Quarterly EBT Margin has moved between -2413.87% (Q4 2017) and -13.23% (Q3 2014) over five years.
- Compared with a year earlier, EBT Margin was higher in four of the last eight quarters, with an average year-over-year change of -318.23 percentage points.
- The best year-over-year quarter for EBT Margin over five years was Q3 2014 (a gain of 617.26 percentage points); the worst was Q4 2017 (a drop of 2325.76 percentage points).
- Per Business Quant data, AGPU's EBT Margin in the three quarters before Q1 2019 was -2011.20% (Q4 2018), -144.58% (Q3 2018) and -36.06% (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 48.94% |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 14.44% |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | -24.13% |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 19.92% |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | -30.35% |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | -21.90% |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 64.80% |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 10.93% |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 9.10% |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - | - |
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 | -212.20% |
| Sep 30, 2015 | -219.82% |
| Jun 30, 2015 | -81.23% |
| Mar 31, 2015 | -79.08% |
| Dec 31, 2014 | -241.83% |
| Sep 30, 2014 | -13.23% |
| Jun 30, 2014 | -27.15% |
Axe Compute EBT 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=ebt-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();