Telefonica Brasil (VIV) Amortization - Intangibles (2011 - 2019)
Telefonica Brasil (VIV) reported Amortization - Intangibles of -$61 million for the quarter ended Dec 31, 2019, compared with -$79.69 million a year earlier.
Telefonica Brasil (VIV) Amortization - Intangibles (2011 - 2019) Analysis & Trends
Over the twelve months ended Dec 31, 2019, Telefonica Brasil's Amortization - Intangibles came in at -$391.48 million.
- The figure for the quarter ended Dec 31, 2019 ranks as the highest quarterly Amortization - Intangibles in data going back to the quarter ended Mar 31, 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn |
| 10 | Bce | 18.40 Bn | 16.72 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -61.00 Mn |
| Sep 30, 2019 | -117.45 Mn |
| Jun 30, 2019 | -107.48 Mn |
| Mar 31, 2019 | -105.54 Mn |
| Dec 31, 2018 | -79.69 Mn |
| Sep 30, 2018 | -77.02 Mn |
| Jun 30, 2018 | -84.62 Mn |
| Mar 31, 2018 | -108.82 Mn |
| Dec 31, 2017 | -105.47 Mn |
| Sep 30, 2017 | -91.38 Mn |
| Jun 30, 2017 | -90.16 Mn |
| Mar 31, 2017 | -92.01 Mn |
| Dec 31, 2016 | -87.72 Mn |
| Sep 30, 2016 | -89.18 Mn |
| Jun 30, 2016 | -85.26 Mn |
| Mar 31, 2016 | -74.26 Mn |
| Dec 31, 2015 | -81.04 Mn |
| Sep 30, 2015 | -85.41 Mn |
| Jun 30, 2015 | -97.42 Mn |
| Mar 31, 2015 | -106.85 Mn |
Telefonica Brasil Amortization - Intangibles 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=amortization-intangibles&ticker=VIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "VIV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();