T-Mobile US (TMUS) Total Liabilities (2009 - 2026)
T-Mobile US (TMUS) posted Total Liabilities of $156.8 billion for Q3 2026, up 0.1% from $156.7 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
T-Mobile US (TMUS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, T-Mobile US's Total Liabilities came in at $160.03 billion, up 9.4% from FY2024.
- Annual Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, T-Mobile US's Total Liabilities was $146.29 billion in FY2024 (+2.3%), $142.97 billion in FY2023 (+0.9%), $141.68 billion in FY2022 (+3.1%) and $137.46 billion in FY2021 (+2.0%).
- Quarterly Total Liabilities has run from a low of $137.46 billion in Q4 2021 to a high of $160.03 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 31 quarters, with growth averaging 4.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 0.1% in Q3 2026 to 9.4% in Q4 2025.
- According to Business Quant data, Total Liabilities for the three prior quarters was $157.29 billion (Q2 2026), $158.79 billion (Q1 2026) and $160.03 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.19 Bn | 159.83 Bn | 27.05 Bn | 308.23 Bn |
| 2 | T-Mobile US | 180.63 Bn | 163.07 Bn | 15.13 Bn | 156.80 Bn |
| 3 | At&T | 149.48 Bn | 106.93 Bn | 26.22 Bn | 323.12 Bn |
| 4 | Grupo Televisa, S.A.B | 138.76 Bn | 131.89 Bn | 960.50 Mn | 6.93 Bn |
| 5 | Comcast | 89.06 Bn | 55.02 Bn | - | 165.24 Bn |
| 6 | Chunghwa Telecom | 38.69 Bn | 31.18 Bn | 728.80 Mn | 5.90 Bn |
| 7 | Vodafone Group Public | 37.39 Bn | 5.63 Bn | - | 90.96 Bn |
| 8 | EchoStar | 29.07 Bn | 10.15 Bn | 647.20 Mn | 19.32 Bn |
| 9 | Bce | 19.98 Bn | 18.22 Bn | 11.61 Bn | 40.22 Bn |
| 10 | Telefonica Brasil | 19.21 Bn | 13.23 Bn | 1.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 156.80 Bn |
| Jun 30, 2026 | 157.29 Bn |
| Mar 31, 2026 | 158.79 Bn |
| Dec 31, 2025 | 160.03 Bn |
| Sep 30, 2025 | 156.70 Bn |
| Jun 30, 2025 | 151.54 Bn |
| Mar 31, 2025 | 153.53 Bn |
| Dec 31, 2024 | 146.29 Bn |
| Sep 30, 2024 | 146.49 Bn |
| Jun 30, 2024 | 145.92 Bn |
| Mar 31, 2024 | 144.19 Bn |
| Dec 31, 2023 | 142.97 Bn |
| Sep 30, 2023 | 143.88 Bn |
| Jun 30, 2023 | 144.85 Bn |
| Mar 31, 2023 | 143.25 Bn |
| Dec 31, 2022 | 141.68 Bn |
| Sep 30, 2022 | 143.35 Bn |
| Jun 30, 2022 | 139.43 Bn |
| Mar 31, 2022 | 140.68 Bn |
| Dec 31, 2021 | 137.46 Bn |
API Access
T-Mobile US Total 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-liabilities&ticker=TMUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();