Verizon Communications (VZ) Selling, General & Administrative (2009 - 2026)
Verizon Communications (VZ) reported Selling, General & Administrative of $8.98 billion for Q2 2026, up 15.0% from $7.81 billion a year earlier and up 17.7% from the prior quarter.
Verizon Communications (VZ) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verizon Communications' Selling, General & Administrative came in at $34.75 billion, up 3.3% year-over-year; for FY2025, it was $33.82 billion, down 0.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $34.11 billion in FY2024 (+4.2%), $32.75 billion in FY2023 (+8.7%), $30.14 billion in FY2022 (+5.2%) and $28.66 billion in FY2021 (-9.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $6.52 billion in Q3 2021 and a high of $10.38 billion in Q4 2025.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with growth averaging 3.1%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 26.0%); the low point was Q3 2025 (a decline of 20.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.63 billion (Q1 2026), $10.38 billion (Q4 2025) and $7.75 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 7.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 61.34 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 547.85 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 63.90 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | -203.00 Mn |
| 10 | Bce | 18.40 Bn | 16.72 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.98 Bn |
| Mar 31, 2026 | 7.63 Bn |
| Dec 31, 2025 | 10.38 Bn |
| Sep 30, 2025 | 7.75 Bn |
| Jun 30, 2025 | 7.81 Bn |
| Mar 31, 2025 | 7.87 Bn |
| Dec 31, 2024 | 8.24 Bn |
| Sep 30, 2024 | 9.71 Bn |
| Jun 30, 2024 | 8.02 Bn |
| Mar 31, 2024 | 8.14 Bn |
| Dec 31, 2023 | 8.99 Bn |
| Sep 30, 2023 | 8.00 Bn |
| Jun 30, 2023 | 8.25 Bn |
| Mar 31, 2023 | 7.51 Bn |
| Dec 31, 2022 | 8.05 Bn |
| Sep 30, 2022 | 7.42 Bn |
| Jun 30, 2022 | 7.50 Bn |
| Mar 31, 2022 | 7.17 Bn |
| Dec 31, 2021 | 7.41 Bn |
| Sep 30, 2021 | 6.52 Bn |
Verizon Communications Selling, General & Administrative 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=selling-general-and-administrative&ticker=VZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();