T-Mobile US (TMUS) Operating Expenses (2009 - 2026)
T-Mobile US's Operating Expenses was $17.3 billion in Q2 2026, up 8.7% from $15.92 billion a year earlier but down 7.0% from the prior quarter.
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Analysis
T-Mobile US (TMUS) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, T-Mobile US's Operating Expenses was $73.94 billion through Jun 30, 2026, up 14.4% year-over-year; for FY2025, it was $70.03 billion, up 10.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $63.39 billion in FY2024 (-1.4%), $64.29 billion in FY2023 (-12.0%), $73.03 billion in FY2022 (-0.3%) and $73.23 billion in FY2021 (+18.6%).
- Quarterly Operating Expenses has moved between $15.14 billion (Q2 2024) and $20.6 billion (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 8.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 19.2%); the worst was Q2 2023 (a decline of 18.9%).
- Per Business Quant data, TMUS's Operating Expenses in the three quarters before Q2 2026 was $18.61 billion (Q1 2026), $20.6 billion (Q4 2025) and $17.43 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.43 Bn | 149.83 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 157.50 Bn | 142.25 Bn | 14.76 Bn | 17.30 Bn |
| 3 | Grupo Televisa, S.A.B | 146.85 Bn | 139.14 Bn | 318.12 Mn | -115.06 Mn |
| 4 | At&T | 140.99 Bn | 98.44 Bn | 26.22 Bn | 28.23 Bn |
| 5 | Comcast | 80.32 Bn | 46.28 Bn | - | 23.98 Bn |
| 6 | Vodafone Group Public | 38.29 Bn | 11.97 Bn | - | -125.27 Mn |
| 7 | Chunghwa Telecom | 37.65 Bn | 30.15 Bn | 728.80 Mn | 309.31 Mn |
| 8 | EchoStar | 25.85 Bn | 16.98 Bn | 1.65 Bn | 3.06 Bn |
| 9 | Telefonica Brasil | 20.72 Bn | 14.74 Bn | 1.42 Bn | -904.61 Mn |
| 10 | Bce | 19.04 Bn | 17.39 Bn | 3.38 Bn | 2.51 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 18.04 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();