Axe Compute (AGPU) Revenue (2011 - 2019)
Axe Compute's Revenue came in at $255,241 for Q1 2019, down 38.0% from $411,593 a year earlier and down 18.1% from the prior quarter.
Axe Compute (AGPU) Revenue (2011 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, Axe Compute reported Revenue of $1.26 million, up 40.8% year-over-year; for FY2018, it came in at $1.41 million, up 115.6% from FY2017.
- Revenue carries a five-year compound annual growth rate of 24.7% (FY2013 to FY2018).
- Going back by year, Revenue was $654,836 in FY2017 (+43.4%), $456,495 in FY2016 (-30.2%), $654,354 in FY2015 (-31.2%) and $951,559 in FY2014 (+103.3%).
- The Q1 2019 figure represents the lowest quarterly Revenue since Q4 2017.
- Year-over-year, Revenue increased in seven of the last eight quarters, with growth averaging 73.3%.
- The fastest year-over-year change in Revenue over five years came in Q3 2014 (growth of 268.4%), and the weakest in Q3 2015 (a decline of 78.4%).
- Business Quant data shows AGPU's Revenue at $311,547 (Q4 2018), $329,930 (Q3 2018) and $358,586 (Q2 2018) in the three quarters before Q1 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,780.05 Bn | 3,703.20 Bn | 60.48 Bn | 90.01 Bn |
| 2 | International Business Machines | 207.28 Bn | 158.18 Bn | 9.91 Bn | 17.16 Bn |
| 3 | Cloudflare | 113.42 Bn | 96.95 Bn | 499.52 Mn | 696.06 Mn |
| 4 | Equinix | 100.18 Bn | 88.73 Bn | 1.40 Bn | 2.63 Bn |
| 5 | Nebius | 60.05 Bn | 33.49 Bn | 448.70 Mn | 582.30 Mn |
| 6 | CoreWeave | 47.35 Bn | 34.44 Bn | 1.70 Bn | 2.58 Bn |
| 7 | Verisign | 25.30 Bn | 22.51 Bn | 384.60 Mn | 434.60 Mn |
| 8 | Nutanix | 18.96 Bn | 10.65 Bn | 651.35 Mn | 757.08 Mn |
| 9 | Akamai Technologies | 15.57 Bn | 8.98 Bn | 613.75 Mn | 1.10 Bn |
| 10 | Axe Compute | 247.06 Mn | 207.25 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 255,241.00 |
| Dec 31, 2018 | 311,547.00 |
| Sep 30, 2018 | 329,930.00 |
| Jun 30, 2018 | 358,586.00 |
| Mar 31, 2018 | 411,593.00 |
| Dec 31, 2017 | 220,313.00 |
| Sep 30, 2017 | 152,535.00 |
| Jun 30, 2017 | 106,822.00 |
| Mar 31, 2017 | 175,166.00 |
| Dec 31, 2016 | 139,564.00 |
| Sep 30, 2016 | 134,605.00 |
| Jun 30, 2016 | 85,422.00 |
| Mar 31, 2016 | 96,905.00 |
| Dec 31, 2015 | 183,276.00 |
| Sep 30, 2015 | 85,792.00 |
| Jun 30, 2015 | 234,012.00 |
| Mar 31, 2015 | 151,274.00 |
| Dec 31, 2014 | 165,792.00 |
| Sep 30, 2014 | 397,254.00 |
| Jun 30, 2014 | 318,293.00 |
Axe Compute 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=revenue&ticker=AGPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();