T-Mobile US (TMUS) Income Taxes Paid (2015 - 2020)
T-Mobile US's Income Taxes Paid was $31 million in Q2 2020, down 22.5% from $40 million a year earlier but up 29.2% from the prior quarter.
T-Mobile US (TMUS) Income Taxes Paid (2015 - 2020) Analysis & Trends
On a trailing twelve-month basis, T-Mobile US's Income Taxes Paid was $71 million through Jun 30, 2020, down 36.6% year-over-year; for FY2019, it came in at $88 million, up 72.5% from FY2018.
- Income Taxes Paid has now increased for three consecutive years, with a five-year compound annual growth rate of 19.6% (FY2014 to FY2019).
- In earlier years, Income Taxes Paid was $51 million in FY2018 (+64.5%), $31 million in FY2017 (+24.0%), $25 million in FY2016 (-53.7%) and $54 million in FY2015 (+50.0%).
- Quarterly Income Taxes Paid has moved between $1 million (Q1 2018) and $40 million (Q2 2019) over five years.
- Compared with a year earlier, Income Taxes Paid was higher in two of the last six quarters, with growth averaging 34.5%.
- The best year-over-year quarter for Income Taxes Paid over five years was Q1 2017 (growth of 650.0%); the worst was Q1 2018 (a decline of 93.3%).
- Per Business Quant data, TMUS's Income Taxes Paid in the three quarters before Q2 2020 was $24 million (Q1 2020), $11 million (Q4 2019) and $5 million (Q3 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | - |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | - |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | - |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | - |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 138.58 Mn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 31.00 Mn |
| Mar 31, 2020 | 24.00 Mn |
| Dec 31, 2019 | 11.00 Mn |
| Sep 30, 2019 | 5.00 Mn |
| Jun 30, 2019 | 40.00 Mn |
| Mar 31, 2019 | 32.00 Mn |
| Dec 31, 2018 | 11.00 Mn |
| Sep 30, 2018 | 29.00 Mn |
| Jun 30, 2018 | 10.00 Mn |
| Mar 31, 2018 | 1.00 Mn |
| Dec 31, 2017 | 8.00 Mn |
| Sep 30, 2017 | 2.00 Mn |
| Jun 30, 2017 | 6.00 Mn |
| Mar 31, 2017 | 15.00 Mn |
| Dec 31, 2016 | 2.00 Mn |
| Sep 30, 2016 | 4.00 Mn |
| Jun 30, 2016 | 17.00 Mn |
| Mar 31, 2016 | 2.00 Mn |
| Dec 31, 2015 | 13.00 Mn |
| Sep 30, 2015 | 8.00 Mn |
T-Mobile US Income Taxes Paid 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=income-taxes-paid&ticker=TMUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();