Verizon Communications (VZ) Accumulated Expenses (2009 - 2025)
Verizon Communications (VZ) recorded Accumulated Expenses of $4.53 billion in Q4 2025, down 10.4% from $5.06 billion a year earlier.
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Analysis
Verizon Communications (VZ) Accumulated Expenses (2009 - 2025) Analysis & Trends
Starting with Q4 2009, Verizon Communications' Accumulated Expenses history includes 17 quarters.
- Annual Accumulated Expenses has declined for four straight years, with a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $5.06 billion in FY2024 (-2.5%), $5.19 billion in FY2023 (-33.7%), $7.82 billion in FY2022 (-14.2%) and $9.12 billion in FY2021 (+50.8%).
- The Q4 2025 figure is the lowest quarterly Accumulated Expenses since Q4 2014.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.53 Bn |
| Dec 31, 2024 | 5.06 Bn |
| Dec 31, 2023 | 5.19 Bn |
| Dec 31, 2022 | 7.82 Bn |
| Dec 31, 2021 | 9.12 Bn |
| Dec 31, 2020 | 6.05 Bn |
| Dec 31, 2019 | 5.98 Bn |
| Dec 31, 2018 | 5.95 Bn |
| Dec 31, 2017 | 6.76 Bn |
| Dec 31, 2016 | 5.72 Bn |
| Dec 31, 2015 | 5.66 Bn |
| Dec 31, 2014 | 4.02 Bn |
| Dec 31, 2013 | 3.95 Bn |
| Dec 31, 2012 | 4.53 Bn |
| Dec 31, 2011 | 3.79 Bn |
| Dec 31, 2010 | 4.11 Bn |
| Dec 31, 2009 | 3.49 Bn |
API Access
Verizon Communications Accumulated Expenses 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=accumulated-expenses&ticker=VZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=VZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();