T-Mobile US (TMUS) Long-Term Debt Repayments (2009 - 2026)
T-Mobile US (TMUS) recorded Long-Term Debt Repayments of $1.34 billion in Q2 2026, down 59.0% from $3.26 billion a year earlier and down 79.2% from the prior quarter.
T-Mobile US (TMUS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, T-Mobile US's Long-Term Debt Repayments came in at $10.23 billion as of Jun 30, 2026, up 70.9% year-over-year; for FY2025, it came in at $6.2 billion, up 22.2% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $5.07 billion in FY2024 (+0.4%), $5.05 billion in FY2023 (-9.1%), $5.56 billion in FY2022 (-49.9%) and $11.1 billion in FY2021 (-45.6%).
- Quarterly Long-Term Debt Repayments has ranged from $223 million in Q4 2023 to $6.44 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last seven quarters, with growth averaging 113.3%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 795.7% in Q2 2024, against a decline of 93.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.44 billion (Q1 2026), $1.64 billion (Q4 2025) and $828 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 17.25 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 1.70 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 582.00 Mn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | - |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 4.16 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | -23.30 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 10.57 Mn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | - |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 2.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 Bn |
| Mar 31, 2026 | 6.74 Bn |
| Dec 31, 2025 | 1.92 Bn |
| Sep 30, 2025 | 1.15 Bn |
| Jun 30, 2025 | 3.59 Bn |
| Mar 31, 2025 | 794.00 Mn |
| Dec 31, 2024 | 2.25 Bn |
| Sep 30, 2024 | 570.00 Mn |
| Jun 30, 2024 | 3.07 Bn |
| Mar 31, 2024 | 550.00 Mn |
| Dec 31, 2023 | 536.00 Mn |
| Sep 30, 2023 | 4.78 Bn |
| Jun 30, 2023 | 527.00 Mn |
| Mar 31, 2023 | 437.00 Mn |
| Dec 31, 2022 | 2.75 Bn |
| Sep 30, 2022 | 443.00 Mn |
| Jun 30, 2022 | 1.67 Bn |
| Mar 31, 2022 | 1.93 Bn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 4.87 Bn |
T-Mobile US Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TMUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TMUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();