At&T (T) Selling, General & Administrative (2009 - 2026)
At&T (T) reported Selling, General & Administrative of $7.22 billion for Q2 2026, up 4.0% from $6.95 billion a year earlier but down 1.3% from the prior quarter.
At&T (T) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, At&T's Selling, General & Administrative came in at $29.39 billion, up 3.3% year-over-year; for FY2025, it was $28.94 billion, up 1.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $28.41 billion in FY2024 (-1.6%), $28.87 billion in FY2023 (-0.3%), $28.96 billion in FY2022 (-2.4%) and $29.67 billion in FY2021 (-3.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $6.95 billion in Q2 2025 and a high of $7.52 billion in Q4 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 1.2% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 148.9%); the low point was Q1 2022 (a decline of 25.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.32 billion (Q1 2026), $7.4 billion (Q4 2025) and $7.45 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 | 7.22 Bn |
| Mar 31, 2026 | 7.32 Bn |
| Dec 31, 2025 | 7.40 Bn |
| Sep 30, 2025 | 7.45 Bn |
| Jun 30, 2025 | 6.95 Bn |
| Mar 31, 2025 | 7.15 Bn |
| Dec 31, 2024 | 7.39 Bn |
| Sep 30, 2024 | 6.96 Bn |
| Jun 30, 2024 | 7.04 Bn |
| Mar 31, 2024 | 7.02 Bn |
| Dec 31, 2023 | 7.49 Bn |
| Sep 30, 2023 | 7.21 Bn |
| Jun 30, 2023 | 7.01 Bn |
| Mar 31, 2023 | 7.18 Bn |
| Dec 31, 2022 | 7.52 Bn |
| Sep 30, 2022 | 7.20 Bn |
| Jun 30, 2022 | 7.27 Bn |
| Mar 31, 2022 | 6.98 Bn |
| Dec 31, 2021 | 7.37 Bn |
| Sep 30, 2021 | 7.09 Bn |
At&T 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=T&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "T", "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=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();