T-Mobile US (TMUS) Long-Term Debt Repayments (2009 - 2026)
T-Mobile US (TMUS) recorded Long-Term Debt Repayments of $1.7 billion in Q3 2026, up 48.2% from $1.15 billion a year earlier and up 0.1% 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 $12.06 billion as of Sep 30, 2026, up 55.1% year-over-year; for FY2025, it came in at $7.45 billion, up 15.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $6.44 billion in FY2024 (+2.6%), $6.28 billion in FY2023 (-7.6%), $6.8 billion in FY2022 (-44.4%) and $12.21 billion in FY2021 (-43.0%).
- Quarterly Long-Term Debt Repayments has ranged from $437 million in Q1 2023 to $6.74 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in six of the last eight quarters, with growth averaging 151.4%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 978.6% in Q3 2023, against a decline of 90.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.7 billion (Q2 2026), $6.74 billion (Q1 2026) and $1.92 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 3.30 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 1.70 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 5.28 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 3.06 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | -23.30 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 6.39 Bn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | -5.22 Bn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.70 Bn |
| 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 |
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();