Axe Compute (AGPU) Gross Margin (2011 - 2019)
Axe Compute's Gross Margin came in at 71.12% for Q1 2019, down 0.37 percentage points from 71.49% a year earlier but up 5.28 percentage points from the prior quarter.
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Analysis
Axe Compute (AGPU) Gross Margin (2011 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, Axe Compute reported Gross Margin of 70.35%, down 4.02 percentage points year-over-year; for FY2018, it came in at 70.55%, down 6.84 percentage points from FY2017.
- Gross Margin carries a five-year change of +11.07 percentage points (FY2013 to FY2018).
- Going back by year, Gross Margin was 77.39% in FY2017 (+17.18 pp), 60.21% in FY2016 (+6.67 pp), 53.54% in FY2015 (-5.96 pp) and 59.51% in FY2014 (+0.03 pp).
- The five-year range for quarterly Gross Margin is 11.37% (Q1 2016) to 81.18% (Q3 2017).
- Year-over-year, Gross Margin has declined for six consecutive quarters, with an average year-over-year change of -1.44 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in Q1 2017 (a gain of 67.51 percentage points), and the weakest in Q1 2016 (a drop of 25.19 percentage points).
- Business Quant data shows AGPU's Gross Margin at 65.83% (Q4 2018), 74.84% (Q3 2018) and 69.61% (Q2 2018) in the three quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 67.20% |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 57.73% |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 71.76% |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 53.14% |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 77.06% |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 65.86% |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 88.50% |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 86.03% |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 55.81% |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 71.12% |
| Dec 31, 2018 | 65.83% |
| Sep 30, 2018 | 74.84% |
| Jun 30, 2018 | 69.61% |
| Mar 31, 2018 | 71.49% |
| Dec 31, 2017 | 72.61% |
| Sep 30, 2017 | 81.18% |
| Jun 30, 2017 | 79.40% |
| Mar 31, 2017 | 78.88% |
| Dec 31, 2016 | 76.72% |
| Sep 30, 2016 | 80.33% |
| Jun 30, 2016 | 56.96% |
| Mar 31, 2016 | 11.37% |
| Dec 31, 2015 | 42.89% |
| Sep 30, 2015 | 76.95% |
| Jun 30, 2015 | 64.29% |
| Mar 31, 2015 | 36.56% |
| Dec 31, 2014 | 26.93% |
| Sep 30, 2014 | 66.09% |
| Jun 30, 2014 | 69.10% |
API Access
Axe Compute Gross 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=gross-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();