Axe Compute (AGPU) Asset Utilization Ratio (2011 - 2019)
Axe Compute's Asset Utilization Ratio was 0.29 in Q1 2019, up 54.1% from 0.19 a year earlier but down 7.8% from the prior quarter.
Analysis
Axe Compute (AGPU) Asset Utilization Ratio (2011 - 2019) Analysis & Trends
For FY2018, Asset Utilization Ratio at Axe Compute came in at 0.39, up 89.1% from FY2017.
- In earlier years, Asset Utilization Ratio was 0.20 in FY2017 (+88.2%), 0.11 in FY2016 (-46.0%), 0.20 in FY2015 (-84.3%) and 1.27 in FY2014 (+31.0%).
- Quarterly Asset Utilization Ratio has moved between 0.09 (Q4 2015) and 0.89 (Q4 2014) over five years.
- Compared with a year earlier, Asset Utilization Ratio has increased for five straight quarters, with growth averaging 39.6% over the last eight quarters.
- The best year-over-year quarter for Asset Utilization Ratio over five years was Q4 2016 (growth of 107.4%); the worst was Q4 2015 (a decline of 89.5%).
- Per Business Quant data, AGPU's Asset Utilization Ratio in the three quarters before Q1 2019 was 0.31 (Q4 2018), 0.28 (Q3 2018) and 0.23 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,780.05 Bn | 3,703.20 Bn | 60.48 Bn | 0.46 |
| 2 | International Business Machines | 207.28 Bn | 158.18 Bn | 9.91 Bn | 0.45 |
| 3 | Cloudflare | 113.42 Bn | 96.95 Bn | 499.52 Mn | 0.40 |
| 4 | Equinix | 100.18 Bn | 88.73 Bn | 1.40 Bn | 0.24 |
| 5 | Nebius | 60.05 Bn | 33.49 Bn | 448.70 Mn | 0.05 |
| 6 | CoreWeave | 47.35 Bn | 34.44 Bn | 1.70 Bn | 0.11 |
| 7 | Verisign | 25.30 Bn | 22.51 Bn | 384.60 Mn | 1.10 |
| 8 | Nutanix | 18.96 Bn | 10.65 Bn | 651.35 Mn | 0.67 |
| 9 | Akamai Technologies | 15.57 Bn | 8.98 Bn | 613.75 Mn | 0.32 |
| 10 | Axe Compute | 247.06 Mn | 207.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 0.29 |
| Dec 31, 2018 | 0.31 |
| Sep 30, 2018 | 0.28 |
| Jun 30, 2018 | 0.23 |
| Mar 31, 2018 | 0.19 |
| Dec 31, 2017 | 0.18 |
| Sep 30, 2017 | 0.14 |
| Jun 30, 2017 | 0.11 |
| Mar 31, 2017 | 0.13 |
| Dec 31, 2016 | 0.19 |
| Sep 30, 2016 | 0.21 |
| Jun 30, 2016 | 0.13 |
| Mar 31, 2016 | 0.12 |
| Dec 31, 2015 | 0.09 |
| Dec 31, 2014 | 0.89 |
| Sep 30, 2014 | 0.79 |
| Jun 30, 2014 | 0.59 |
| Mar 31, 2014 | 0.52 |
| Dec 31, 2013 | 0.80 |
| Sep 30, 2013 | 0.92 |
API Access
Axe Compute Asset Utilization Ratio 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=asset-utilization-ratio&ticker=AGPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();