T-Mobile US (TMUS) Other Operating Expenses (2009 - 2026)
T-Mobile US's Other Operating Expenses was $8.45 billion in Q3 2026, up 9.4% from $7.73 billion a year earlier and up 5.2% from the prior quarter.
Powered by 
Analysis
T-Mobile US (TMUS) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, T-Mobile US's Other Operating Expenses was $35.58 billion through Sep 30, 2026, up 13.7% year-over-year; for FY2025, it came in at $32.77 billion, up 10.5% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $29.65 billion in FY2024 (-1.7%), $30.16 billion in FY2023 (-19.1%), $37.29 billion in FY2022 (+1.9%) and $36.61 billion in FY2021 (+29.5%).
- Quarterly Other Operating Expenses has moved between $6.75 billion (Q2 2024) and $10.45 billion (Q4 2021) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for eight straight quarters, with growth averaging 10.3% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2026 (growth of 19.3%); the worst was Q3 2023 (a decline of 26.9%).
- Per Business Quant data, TMUS's Other Operating Expenses in the three quarters before Q3 2026 was $8.03 billion (Q2 2026), $8.83 billion (Q1 2026) and $10.27 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.90 Bn |
| Jun 30, 2026 | 11.47 Bn |
| Mar 31, 2026 | 12.64 Bn |
| Dec 31, 2025 | 14.03 Bn |
| Sep 30, 2025 | 8.21 Bn |
| Jun 30, 2025 | 10.52 Bn |
| Mar 31, 2025 | 10.60 Bn |
| Dec 31, 2024 | 9.03 Bn |
| Sep 30, 2024 | 7.28 Bn |
| Jun 30, 2024 | 10.00 Bn |
| Mar 31, 2024 | 10.46 Bn |
| Dec 31, 2023 | 11.72 Bn |
| Sep 30, 2023 | 10.32 Bn |
| Jun 30, 2023 | 10.13 Bn |
| Mar 31, 2023 | 10.81 Bn |
| Dec 31, 2022 | 11.95 Bn |
| Sep 30, 2022 | 13.08 Bn |
| Jun 30, 2022 | 13.14 Bn |
| Mar 31, 2022 | 13.26 Bn |
| Dec 31, 2021 | 14.32 Bn |
API Access
T-Mobile US Other 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=other-operating-expenses&ticker=TMUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();