Verizon Communications (VZ) Long-Term Debt Repayments (2009 - 2026)
Verizon Communications (VZ) recorded Long-Term Debt Repayments of $17.25 billion in Q2 2026, up 244.6% from $5.01 billion a year earlier and up 55.6% from the prior quarter.
Verizon Communications (VZ) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Verizon Communications' Long-Term Debt Repayments came in at $38.09 billion as of Jun 30, 2026, up 84.4% year-over-year; for FY2025, it came in at $19.79 billion, down 2.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $20.34 billion in FY2024 (+91.5%), $10.62 billion in FY2023 (-21.7%), $13.56 billion in FY2022 (-28.1%) and $18.86 billion in FY2021 (+9.7%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q1 2009.
- On a year-over-year basis, Long-Term Debt Repayments rose in five of the last eight quarters, with growth averaging 103.4%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 693.6% in Q1 2022, against a decline of 80.1% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.09 billion (Q1 2026), $5.82 billion (Q4 2025) and $3.92 billion (Q3 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 | 3.30 Bn |
| 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 |
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_KEY
import 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();