Axe Compute (AGPU) Cost of Revenue (2011 - 2019)
Axe Compute (AGPU) recorded Cost of Revenue of $73,717 in Q1 2019, down 37.2% from $117,343 a year earlier and down 30.7% from the prior quarter.
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Analysis
Axe Compute (AGPU) Cost of Revenue (2011 - 2019) Analysis & Trends
On a TTM basis, Axe Compute's Cost of Revenue came in at $372,137 as of Mar 31, 2019, up 62.9% year-over-year; for FY2018, it came in at $415,764, up 180.8% from FY2017.
- Annual Cost of Revenue has a five-year compound annual growth rate of 17.0% (FY2013 to FY2018).
- Across earlier years, Cost of Revenue came in at $148,045 in FY2017 (-18.5%), $181,620 in FY2016 (-40.3%), $303,982 in FY2015 (-21.1%) and $385,323 in FY2014 (+103.1%).
- The Q1 2019 figure is the lowest quarterly Cost of Revenue since Q4 2017.
- On a year-over-year basis, Cost of Revenue rose in six of the last eight quarters, with growth averaging 111.8%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 414.6% in Q3 2014, against a decline of 85.3% in Q3 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at $106,444 (Q4 2018), $83,006 (Q3 2018) and $108,970 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 29.53 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 7.26 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 196.54 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 1.23 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 133.60 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 879.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 50.00 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 105.73 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 485.93 Mn |
| 10 | Axe Compute | 237.80 Mn | 198.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 73,717.00 |
| Dec 31, 2018 | 106,444.00 |
| Sep 30, 2018 | 83,006.00 |
| Jun 30, 2018 | 108,970.00 |
| Mar 31, 2018 | 117,343.00 |
| Dec 31, 2017 | 60,336.00 |
| Sep 30, 2017 | 28,706.00 |
| Jun 30, 2017 | 22,010.00 |
| Mar 31, 2017 | 36,992.00 |
| Dec 31, 2016 | 32,490.00 |
| Sep 30, 2016 | 26,481.00 |
| Jun 30, 2016 | 36,766.00 |
| Mar 31, 2016 | 85,883.00 |
| Dec 31, 2015 | 104,675.00 |
| Sep 30, 2015 | 19,773.00 |
| Jun 30, 2015 | 83,566.00 |
| Mar 31, 2015 | 95,968.00 |
| Dec 31, 2014 | 121,149.00 |
| Sep 30, 2014 | 134,726.00 |
| Jun 30, 2014 | 98,365.00 |
API Access
Axe Compute Cost of Revenue 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=cost-of-revenue&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();