T-Mobile US (TMUS) Accumulated Expenses (2010 - 2019)
T-Mobile US's Accumulated Expenses was $45.94 million in Q4 2012, up 16.1% from $39.59 million a year earlier.
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Analysis
T-Mobile US (TMUS) Accumulated Expenses (2010 - 2019) Analysis & Trends
- In earlier years, Accumulated Expenses was $39.59 million in FY2011 (+28.4%) and $30.82 million in FY2010.
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 |
|---|---|
| Dec 31, 2019 | 35.72 Bn |
| Sep 30, 2019 | 28.63 Bn |
| Jun 30, 2019 | 19.04 Bn |
| Mar 31, 2019 | 7.74 Bn |
| Dec 31, 2018 | 7.26 Bn |
| Sep 30, 2018 | 6.09 Bn |
| Jun 30, 2018 | 6.17 Bn |
| Mar 31, 2018 | 6.68 Bn |
| Dec 31, 2017 | 8.01 Bn |
| Sep 30, 2017 | 5.63 Bn |
| Jun 30, 2017 | 5.71 Bn |
| Mar 31, 2017 | 5.60 Bn |
| Dec 31, 2016 | 6.47 Bn |
| Sep 30, 2016 | 5.59 Bn |
| Jun 30, 2016 | 6.32 Bn |
| Mar 31, 2016 | 6.90 Bn |
| Dec 31, 2015 | 7.50 Bn |
| Sep 30, 2015 | 7.01 Bn |
| Jun 30, 2015 | 6.20 Bn |
| Mar 31, 2015 | 6.45 Bn |
API Access
T-Mobile US Accumulated 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=accumulated-expenses&ticker=TMUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();