T-Mobile US (TMUS) Total Non-Current Liabilities (2009 - 2026)
T-Mobile US's Total Non-Current Liabilities came in at $133.73 billion for Q2 2026, up 3.3% from $129.43 billion a year earlier but down 3.4% from the prior quarter.
T-Mobile US (TMUS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, T-Mobile US's Total Non-Current Liabilities was $135.53 billion, up 7.5% from FY2024.
- Total Non-Current Liabilities has increased in each of the last eight years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $126.12 billion in FY2024 (+3.3%), $122.04 billion in FY2023 (+4.4%), $116.94 billion in FY2022 (+2.6%) and $113.96 billion in FY2021 (+0.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $113.96 billion (Q4 2021) to $138.44 billion (Q1 2026).
- Year-over-year, Total Non-Current Liabilities has increased for 25 consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 0.1% (Q1 2023) to 7.5% (Q4 2025).
- Business Quant data shows TMUS's Total Non-Current Liabilities at $138.44 billion (Q1 2026), $135.53 billion (Q4 2025) and $132.4 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 165.71 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | 5.55 Bn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 146.48 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | 59.09 Bn |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | 18.48 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 21.41 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | 187.58 Mn |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 32.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.73 Bn |
| Mar 31, 2026 | 138.44 Bn |
| Dec 31, 2025 | 135.53 Bn |
| Sep 30, 2025 | 132.40 Bn |
| Jun 30, 2025 | 129.43 Bn |
| Mar 31, 2025 | 129.90 Bn |
| Dec 31, 2024 | 126.12 Bn |
| Sep 30, 2024 | 125.54 Bn |
| Jun 30, 2024 | 122.88 Bn |
| Mar 31, 2024 | 123.63 Bn |
| Dec 31, 2023 | 122.04 Bn |
| Sep 30, 2023 | 122.17 Bn |
| Jun 30, 2023 | 120.28 Bn |
| Mar 31, 2023 | 119.40 Bn |
| Dec 31, 2022 | 116.94 Bn |
| Sep 30, 2022 | 116.99 Bn |
| Jun 30, 2022 | 118.81 Bn |
| Mar 31, 2022 | 119.25 Bn |
| Dec 31, 2021 | 113.96 Bn |
| Sep 30, 2021 | 114.45 Bn |
T-Mobile US Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TMUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();