Axe Compute Inc. (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.
Axe Compute Inc. (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 Comparison
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% |
Axe Compute Inc. 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_KEY
import 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();