Axe Compute (AGPU) Selling, General & Administrative (2010 - 2019)
Axe Compute (AGPU) reported Selling, General & Administrative of $1.5 million for Q1 2019, up 20.6% from $1.24 million a year earlier but down 21.9% from the prior quarter.
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Analysis
Axe Compute (AGPU) Selling, General & Administrative (2010 - 2019) Analysis & Trends
Over the twelve months ended Mar 31, 2019, Axe Compute's Selling, General & Administrative came in at $4.91 million, up 18.0% year-over-year; for FY2018, it came in at $4.63 million, up 14.2% from FY2017.
- Selling, General & Administrative has a five-year compound annual growth rate of -9.3% (FY2013 to FY2018).
- By year, Selling, General & Administrative came in at $4.05 million in FY2017 (-21.7%), $5.17 million in FY2016 (+52.2%), $3.4 million in FY2015 (-30.4%) and $4.88 million in FY2014 (-35.2%).
- Five-year quarterly Selling, General & Administrative spans a low of -$127,795 in Q1 2015 and a high of $2.26 million in Q2 2016.
- Year over year, Selling, General & Administrative gained in three of the last seven quarters, with an average decline of 16.4%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2016 (growth of 164.2%); the low point was Q4 2017 (a decline of 83.3%).
- Per Business Quant data, the three quarters before Q1 2019 came in at $1.92 million (Q4 2018), $762,603 (Q3 2018) and $729,528 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 2.29 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 4.98 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 118.91 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 462.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 173.90 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 178.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 60.80 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 72.41 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 187.69 Mn |
| 10 | Axe Compute | 237.80 Mn | 198.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.50 Mn |
| Dec 31, 2018 | 1.92 Mn |
| Sep 30, 2018 | 762,603.00 |
| Jun 30, 2018 | 729,528.00 |
| Mar 31, 2018 | 1.24 Mn |
| Dec 31, 2017 | 81,814.00 |
| Sep 30, 2017 | 621,716.00 |
| Jun 30, 2017 | 2.21 Mn |
| Mar 31, 2017 | 1.13 Mn |
| Dec 31, 2016 | 490,669.00 |
| Sep 30, 2016 | 733,074.00 |
| Jun 30, 2016 | 2.26 Mn |
| Mar 31, 2016 | 1.69 Mn |
| Dec 31, 2015 | 1.81 Mn |
| Sep 30, 2015 | 861,098.00 |
| Jun 30, 2015 | 856,219.00 |
| Mar 31, 2015 | -127,795.00 |
| Dec 31, 2014 | 1.64 Mn |
| Sep 30, 2014 | 737,519.00 |
| Jun 30, 2014 | 1.33 Mn |
API Access
Axe Compute Selling, General & Administrative 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=selling-general-and-administrative&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();