Axe Compute (AGPU) Price to Sales (2011 - 2019)
Axe Compute's Price to Sales came in at 10.37 for Q1 2019, down 28.8% from 14.57 a year earlier but up 67.9% from the prior quarter.
Analysis
Axe Compute (AGPU) Price to Sales (2011 - 2019) Analysis & Trends
For FY2018, Axe Compute's Price to Sales was 6.18, down 42.3% from FY2017.
- Price to Sales has declined in each of the last eight years.
- Going back by year, Price to Sales was 10.71 in FY2017 (-38.1%), 17.32 in FY2016 (-96.0%), 436.04 in FY2015 (-17.4%) and 528.20 in FY2014 (-75.9%).
- The five-year range for quarterly Price to Sales is 6.18 (Q4 2018) to 1443.58 (Q2 2014).
- Year-over-year, Price to Sales has declined for 28 consecutive quarters, with an average decline of 35.4% over the last eight quarters.
- The year-over-year decline in Price to Sales has ranged between 17.4% (Q4 2015) and 96.0% (Q4 2016) over the last five years.
- Business Quant data shows AGPU's Price to Sales at 6.18 (Q4 2018), 10.76 (Q3 2018) and 11.95 (Q2 2018) in the three quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn |
| 10 | Axe Compute | 237.80 Mn | 198.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 10.37 |
| Dec 31, 2018 | 6.18 |
| Sep 30, 2018 | 10.76 |
| Jun 30, 2018 | 11.95 |
| Mar 31, 2018 | 14.57 |
| Dec 31, 2017 | 10.71 |
| Sep 30, 2017 | 15.79 |
| Jun 30, 2017 | 16.36 |
| Mar 31, 2017 | 25.48 |
| Dec 31, 2016 | 17.32 |
| Sep 30, 2016 | 28.08 |
| Jun 30, 2016 | 22.83 |
| Mar 31, 2016 | 130.45 |
| Dec 31, 2015 | 436.04 |
| Sep 30, 2015 | 496.58 |
| Jun 30, 2015 | 270.66 |
| Mar 31, 2015 | 274.13 |
| Dec 31, 2014 | 528.20 |
| Sep 30, 2014 | 713.28 |
| Jun 30, 2014 | 1,443.58 |
API Access
Axe Compute Price to Sales 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=price-to-sales&ticker=AGPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();