Verizon Communications (VZ) Long-Term Debt Repayments (2009 - 2026)
Verizon Communications (VZ) recorded Long-Term Debt Repayments of $7.08 billion in Q2 2026, up 268.4% from $1.92 billion a year earlier and up 3.7% from the prior quarter.
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Analysis
Verizon Communications (VZ) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Verizon Communications' Long-Term Debt Repayments came in at $17.84 billion as of Jun 30, 2026, up 98.3% year-over-year; for FY2025, it came in at $8.44 billion, down 0.6% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $8.49 billion in FY2024 (+91.1%), $4.44 billion in FY2023 (-10.2%), $4.95 billion in FY2022 (+3.1%) and $4.8 billion in FY2021 (-35.2%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q4 2017.
- On a year-over-year basis, Long-Term Debt Repayments rose in five of the last eight quarters, with growth averaging 93.9%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 268.4% in Q2 2026, against a decline of 57.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.83 billion (Q1 2026), $2 billion (Q4 2025) and $1.93 billion (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.25 Bn |
| Mar 31, 2026 | 11.09 Bn |
| Dec 31, 2025 | 5.82 Bn |
| Sep 30, 2025 | 3.92 Bn |
| Jun 30, 2025 | 5.01 Bn |
| Mar 31, 2025 | 5.04 Bn |
| Dec 31, 2024 | 7.56 Bn |
| Sep 30, 2024 | 3.05 Bn |
| Jun 30, 2024 | 3.81 Bn |
| Mar 31, 2024 | 5.92 Bn |
| Dec 31, 2023 | 1.33 Bn |
| Sep 30, 2023 | 4.31 Bn |
| Jun 30, 2023 | 2.73 Bn |
| Mar 31, 2023 | 2.26 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 1.89 Bn |
| Mar 31, 2022 | 8.21 Bn |
| Dec 31, 2021 | 7.07 Bn |
| Sep 30, 2021 | 1.24 Bn |
API Access
Verizon Communications 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=VZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VZ", "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=VZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();