Telefonica Brasil (VIV) Capital Expenditures (2020)
Telefonica Brasil (VIV) recorded Capital Expenditures of $1.13 billion in the year ended Dec 31, 2025, up 9.0% from $1.03 billion a year earlier.
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Analysis
Telefonica Brasil (VIV) Capital Expenditures (2020) Analysis & Trends
Starting with the year ended Dec 31, 2015, Telefonica Brasil's Capital Expenditures history includes 11 years.
- Annual Capital Expenditures has a five-year compound annual growth rate of -6.0% (years ended Dec 2020 to Dec 2025).
- Annual Capital Expenditures has ranged from $1.03 billion in the year ended Dec 31, 2024 to $1.88 billion in the year ended Dec 31, 2022 over the past five years.
- Per Business Quant data, VIV's Capital Expenditures was $1.03 billion in the year ended Dec 31, 2024 (-42.0%), $1.78 billion in the year ended Dec 31, 2023 (-5.4%), $1.88 billion in the year ended Dec 31, 2022 (+9.0%) and $1.73 billion in the year ended Dec 31, 2021 (+12.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 4.01 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 2.70 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 5.70 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 2.90 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | -167.60 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 92.30 Mn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 597.62 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | -780.76 Mn |
| 10 | Telefonica Brasil | 18.28 Bn | 12.27 Bn | 1.42 Bn | - |
API Access
Telefonica Brasil Capital Expenditures 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=capital-expenditures&ticker=VIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();