T-Mobile US (TMUS) Operating Expenses (2009 - 2026)
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Analysis
T-Mobile US (TMUS) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn | 25.66 Bn |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn | 17.92 Bn |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn | 28.23 Bn |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn | 356.81 Mn |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - | 23.98 Bn |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn | 309.31 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn | 979.86 Mn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn | 7.43 Bn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn | 904.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.92 Bn |
| Jun 30, 2026 | 17.30 Bn |
| Mar 31, 2026 | 18.61 Bn |
| Dec 31, 2025 | 20.60 Bn |
| Sep 30, 2025 | 17.43 Bn |
| Jun 30, 2025 | 15.92 Bn |
| Mar 31, 2025 | 16.09 Bn |
| Dec 31, 2024 | 17.29 Bn |
| Sep 30, 2024 | 15.37 Bn |
| Jun 30, 2024 | 15.14 Bn |
| Mar 31, 2024 | 15.60 Bn |
| Dec 31, 2023 | 17.00 Bn |
| Sep 30, 2023 | 15.66 Bn |
| Jun 30, 2023 | 15.40 Bn |
| Mar 31, 2023 | 16.24 Bn |
| Dec 31, 2022 | 17.53 Bn |
| Sep 30, 2022 | 18.20 Bn |
| Jun 30, 2022 | 18.99 Bn |
| Mar 31, 2022 | 18.31 Bn |
| Dec 31, 2021 | 19.72 Bn |
API Access
T-Mobile US Operating 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=operating-expenses&ticker=TMUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();