T-Mobile US (TMUS) Inventory (2009 - 2026)
T-Mobile US (TMUS) posted Inventory of $3.09 billion for Q3 2026, up 30.2% from $2.37 billion a year earlier and up 40.8% from the prior quarter.
Analysis
T-Mobile US (TMUS) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, T-Mobile US's Inventory came in at $2.41 billion, up 49.7% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, T-Mobile US's Inventory was $1.61 billion in FY2024 (-4.2%), $1.68 billion in FY2023 (-10.9%), $1.88 billion in FY2022 (-26.6%) and $2.57 billion in FY2021 (+1.6%).
- The Q3 2026 figure stands as the highest quarterly Inventory in data going back to Q4 2012.
- On a year-over-year basis, Inventory has increased in each of the last seven quarters, with growth averaging 26.7% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2025, with growth of 49.7%; the weakest was Q2 2023, with a decline of 38.8%.
- According to Business Quant data, Inventory for the three prior quarters was $2.19 billion (Q2 2026), $2.33 billion (Q1 2026) and $2.41 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.94 Bn | 159.58 Bn | 27.05 Bn | 2.78 Bn |
| 2 | T-Mobile US | 179.71 Bn | 162.14 Bn | 15.13 Bn | 3.09 Bn |
| 3 | At&T | 147.73 Bn | 105.17 Bn | 26.22 Bn | 2.89 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 139.98 Bn | 960.50 Mn | 34.80 Mn |
| 5 | Comcast | 87.61 Bn | 53.57 Bn | - | - |
| 6 | Chunghwa Telecom | 37.88 Bn | 30.37 Bn | 728.80 Mn | 552.35 Mn |
| 7 | Vodafone Group Public | 37.71 Bn | 5.95 Bn | - | 883.45 Mn |
| 8 | EchoStar | 30.28 Bn | 11.36 Bn | 647.20 Mn | 119.21 Mn |
| 9 | Bce | 20.18 Bn | 18.41 Bn | 11.61 Bn | 259.31 Mn |
| 10 | Telefonica Brasil | 18.61 Bn | 12.64 Bn | 1.42 Bn | 344.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.09 Bn |
| Jun 30, 2026 | 2.19 Bn |
| Mar 31, 2026 | 2.33 Bn |
| Dec 31, 2025 | 2.41 Bn |
| Sep 30, 2025 | 2.37 Bn |
| Jun 30, 2025 | 1.69 Bn |
| Mar 31, 2025 | 1.94 Bn |
| Dec 31, 2024 | 1.61 Bn |
| Sep 30, 2024 | 1.79 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.52 Bn |
| Dec 31, 2023 | 1.68 Bn |
| Sep 30, 2023 | 1.69 Bn |
| Jun 30, 2023 | 1.37 Bn |
| Mar 31, 2023 | 1.74 Bn |
| Dec 31, 2022 | 1.88 Bn |
| Sep 30, 2022 | 2.25 Bn |
| Jun 30, 2022 | 2.24 Bn |
| Mar 31, 2022 | 2.72 Bn |
| Dec 31, 2021 | 2.57 Bn |
API Access
T-Mobile US Inventory 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=inventory&ticker=TMUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();