Axe Compute (AGPU) Return on Sales [ROS] (2011 - 2019)
Axe Compute (AGPU) recorded Return on Sales [ROS] of -844.57% in Q1 2019, down 482.17 percentage points from -362.39% a year earlier but up 1166.64 percentage points from the prior quarter.
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Analysis
Axe Compute (AGPU) Return on Sales [ROS] (2011 - 2019) Analysis & Trends
On a TTM basis, Axe Compute's Return on Sales [ROS] came in at -719.17% as of Mar 31, 2019, up 63.54 percentage points year-over-year; for FY2018, it came in at -486.34%, up 360.70 percentage points from FY2017.
- Annual Return on Sales [ROS] has a five-year change of -311.49 percentage points (FY2013 to FY2018).
- Across earlier years, Return on Sales [ROS] came in at -847.04% in FY2017 (-653.56 pp), -193.48% in FY2016 (-117.64 pp), -75.85% in FY2015 (-33.12 pp) and -42.73% in FY2014 (+132.13 pp).
- Quarterly Return on Sales [ROS] has ranged from -2413.87% in Q4 2017 to 22.47% in Q1 2015 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -318.23 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 402.67 percentage points in Q4 2018, against a drop of 2325.76 percentage points in Q4 2017 at the low end.
- Per Business Quant, the preceding three quarters came in at -2011.20% (Q4 2018), -144.58% (Q3 2018) and -36.06% (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 9.24% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 7.30% |
| 10 | Axe Compute | 237.80 Mn | 198.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -844.57% |
| Dec 31, 2018 | -2,011.20% |
| Sep 30, 2018 | -144.58% |
| Jun 30, 2018 | -36.06% |
| Mar 31, 2018 | -362.39% |
| Dec 31, 2017 | -2,413.87% |
| Sep 30, 2017 | -45.04% |
| Jun 30, 2017 | -91.46% |
| Mar 31, 2017 | -35.58% |
| Dec 31, 2016 | -88.12% |
| Sep 30, 2016 | -137.24% |
| Jun 30, 2016 | -229.66% |
| Mar 31, 2016 | -391.46% |
| Dec 31, 2015 | -214.24% |
| Sep 30, 2015 | -159.43% |
| Jun 30, 2015 | -0.37% |
| Mar 31, 2015 | 22.47% |
| Dec 31, 2014 | -113.50% |
| Sep 30, 2014 | 19.98% |
| Jun 30, 2014 | -22.51% |
API Access
Axe Compute Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();