Axe Compute (AGPU) FCF Margin (2011 - 2019)
Axe Compute (AGPU) recorded FCF Margin of -802.63% in Q1 2019, down 383.02 percentage points from -419.62% a year earlier and down 409.11 percentage points from the prior quarter.
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Analysis
Axe Compute (AGPU) FCF Margin (2011 - 2019) Analysis & Trends
On a TTM basis, Axe Compute's FCF Margin came in at -461.02% as of Mar 31, 2019, up 105.46 percentage points year-over-year; for FY2018, it was -387.18%, up 300.75 percentage points from FY2017.
- Annual FCF Margin has increased for three straight years, with a five-year change of +471.12 percentage points (FY2013 to FY2018).
- Across earlier years, FCF Margin came in at -687.93% in FY2017 (+279.04 pp), -966.98% in FY2016 (+182.21 pp), -1149.19% in FY2015 (-784.23 pp) and -364.96% in FY2014 (+493.34 pp).
- The Q1 2019 figure is the lowest quarterly FCF Margin since Q2 2017.
- On a year-over-year basis, FCF Margin rose in five of the last eight quarters, with an average year-over-year change of +166.94 percentage points.
- Peak year-over-year performance for FCF Margin in the last five years was a gain of 4467.22 percentage points in Q3 2016, against a drop of 4846.66 percentage points in Q3 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at -393.53% (Q4 2018), -303.75% (Q3 2018) and -421.21% (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 21.82% |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 13.80% |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 9.71% |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | -19.47% |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 1,357.29% |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | -223.03% |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 48.96% |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 36.66% |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 16.49% |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -802.63% |
| Dec 31, 2018 | -393.53% |
| Sep 30, 2018 | -303.75% |
| Jun 30, 2018 | -421.21% |
| Mar 31, 2018 | -419.62% |
| Dec 31, 2017 | -601.09% |
| Sep 30, 2017 | -702.21% |
| Jun 30, 2017 | -867.18% |
| Mar 31, 2017 | -675.42% |
| Dec 31, 2016 | -490.65% |
| Sep 30, 2016 | -688.00% |
| Jun 30, 2016 | -1,402.54% |
| Mar 31, 2016 | -1,656.54% |
| Dec 31, 2015 | -1,555.00% |
| Sep 30, 2015 | -5,155.23% |
| Jun 30, 2015 | -89.46% |
| Mar 31, 2015 | -3.46% |
| Dec 31, 2014 | -137.03% |
| Sep 30, 2014 | -308.57% |
| Jun 30, 2014 | -61.27% |
API Access
Axe Compute FCF Margin 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=fcf-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();