At&T (T) Long-Term Debt Repayments (2009 - 2026)
At&T (T) reported Long-Term Debt Repayments of $5.28 billion for Q3 2026, compared with $229 million a year earlier and up 807.0% from the prior quarter.
At&T (T) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, At&T's Long-Term Debt Repayments came in at $15 billion, up 186.5% year-over-year; for FY2025, it came in at $6.71 billion, down 44.5% from FY2024.
- Long-Term Debt Repayments has declined for three consecutive years, with a five-year compound annual growth rate of -30.7% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $12.09 billion in FY2024 (-32.0%), $17.79 billion in FY2023 (-40.3%), $29.82 billion in FY2022 (+290.5%) and $7.64 billion in FY2021 (-81.8%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $94 million in Q2 2025 and a high of $23.42 billion in Q2 2022.
- Year over year, Long-Term Debt Repayments gained in four of the last six quarters, with growth averaging 99.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q2 2026 (growth of 519.1%); the low point was Q2 2025 (a decline of 95.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $582 million (Q2 2026), $5.46 billion (Q1 2026) and $3.68 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 | 5.28 Bn |
| Jun 30, 2026 | 582.00 Mn |
| Mar 31, 2026 | 5.46 Bn |
| Dec 31, 2025 | 3.68 Bn |
| Sep 30, 2025 | 229.00 Mn |
| Jun 30, 2025 | 94.00 Mn |
| Mar 31, 2025 | 1.73 Bn |
| Dec 31, 2024 | 3.18 Bn |
| Sep 30, 2024 | 203.00 Mn |
| Jun 30, 2024 | 2.23 Bn |
| Mar 31, 2024 | 5.53 Bn |
| Dec 31, 2023 | 155.00 Mn |
| Sep 30, 2023 | 4.28 Bn |
| Jun 30, 2023 | 1.66 Bn |
| Mar 31, 2023 | 8.06 Bn |
| Dec 31, 2022 | 706.00 Mn |
| Sep 30, 2022 | 199.00 Mn |
| Jun 30, 2022 | 23.42 Bn |
| Mar 31, 2022 | 2.36 Bn |
| Dec 31, 2021 | 1.49 Bn |
At&T 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=T&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "T", "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=T&period=max&api_key=YOUR_API_KEY");
const data = await res.json();