Appsoft Technologies (ASFT) EBITDA Margin (2015 - 2018)
Appsoft Technologies' EBITDA Margin came in at -27608.20% for FY2018, down 2471.18 percentage points from -25137.01% in FY2017.
Analysis
Appsoft Technologies (ASFT) EBITDA Margin (2015 - 2018) Analysis & Trends
Going back to FY2015, Appsoft Technologies' EBITDA Margin data covers 4 years.
- EBITDA Margin has declined in each of the last three years, with a three-year change of -24920.98 percentage points (FY2015 to FY2018).
- Per Business Quant, earlier years put EBITDA Margin at -25137.01% in FY2017 (-12119.24 pp), -13017.77% in FY2016 (-10330.56 pp) and -2687.21% in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 39.96% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 41.33% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 34.18% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.82% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.69% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 35.76% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 79.37% |
| 10 | Appsoft Technologies | 1.12 Mn | 1.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -43,276.32% |
| Jun 30, 2018 | -14,093.69% |
| Dec 31, 2017 | -8,447.96% |
| Sep 30, 2017 | -57,724.75% |
| Jun 30, 2017 | -34,953.85% |
| Mar 31, 2017 | -2,065.41% |
| Dec 31, 2016 | -16,539.79% |
| Sep 30, 2016 | -16,003.99% |
| Jun 30, 2016 | -13,714.26% |
| Mar 31, 2016 | -6,877.32% |
| Dec 31, 2015 | -2,391.52% |
| Jun 30, 2015 | -2,773.47% |
API Access
Appsoft Technologies EBITDA 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=ebitda-margin&ticker=ASFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "ASFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=ASFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();