T-Mobile US (TMUS) Selling, General & Administrative (2009 - 2026)
T-Mobile US (TMUS) reported Selling, General & Administrative of $5.83 billion for Q2 2026, up 8.1% from $5.4 billion a year earlier but down 2.2% from the prior quarter.
T-Mobile US (TMUS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, T-Mobile US's Selling, General & Administrative came in at $24.39 billion, up 13.8% year-over-year; for FY2025, it came in at $23.47 billion, up 12.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $20.82 billion in FY2024 (-2.3%), $21.31 billion in FY2023 (-1.4%), $21.61 billion in FY2022 (+6.8%) and $20.24 billion in FY2021 (+6.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $5.06 billion in Q1 2022 and a high of $6.57 billion in Q4 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last seven quarters, with growth averaging 8.2% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 22.8%); the low point was Q2 2023 (a decline of 10.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.97 billion (Q1 2026), $6.57 billion (Q4 2025) and $6.02 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 | 5.83 Bn |
| Mar 31, 2026 | 5.97 Bn |
| Dec 31, 2025 | 6.57 Bn |
| Sep 30, 2025 | 6.02 Bn |
| Jun 30, 2025 | 5.40 Bn |
| Mar 31, 2025 | 5.49 Bn |
| Dec 31, 2024 | 5.35 Bn |
| Sep 30, 2024 | 5.19 Bn |
| Jun 30, 2024 | 5.14 Bn |
| Mar 31, 2024 | 5.14 Bn |
| Dec 31, 2023 | 5.28 Bn |
| Sep 30, 2023 | 5.33 Bn |
| Jun 30, 2023 | 5.27 Bn |
| Mar 31, 2023 | 5.43 Bn |
| Dec 31, 2022 | 5.58 Bn |
| Sep 30, 2022 | 5.12 Bn |
| Jun 30, 2022 | 5.86 Bn |
| Mar 31, 2022 | 5.06 Bn |
| Dec 31, 2021 | 5.40 Bn |
| Sep 30, 2021 | 5.21 Bn |
T-Mobile US 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=TMUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TMUS", "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=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();