Verizon Communications (VZ) Non-Current Debt (2009 - 2026)
Verizon Communications' Non-Current Debt was $143.45 billion in Q2 2026, up 15.8% from $123.93 billion a year earlier but down 0.5% from the prior quarter.
Verizon Communications (VZ) Non-Current Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Verizon Communications came in at $139.53 billion, up 15.0% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $121.38 billion in FY2024 (-11.9%), $137.7 billion in FY2023 (-2.1%), $140.68 billion in FY2022 (-1.9%) and $143.43 billion in FY2021 (+16.4%).
- Quarterly Non-Current Debt has moved between $121.02 billion (Q1 2025) and $144.23 billion (Q1 2026) over five years.
- Compared with a year earlier, Non-Current Debt has increased for three straight quarters, with growth averaging 2.4% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q3 2021 (growth of 30.6%); the worst was Q4 2024 (a decline of 11.9%).
- Per Business Quant data, VZ's Non-Current Debt in the three quarters before Q2 2026 was $144.23 billion (Q1 2026), $139.53 billion (Q4 2025) and $126.63 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 143.45 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 78.50 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 134.63 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 4.63 Bn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 84.26 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 50.62 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 15.99 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 2.96 Bn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 27.13 Bn |
| 10 | Telefonica Brasil | 18.18 Bn | 12.18 Bn | 1.42 Bn | 30.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.45 Bn |
| Mar 31, 2026 | 144.23 Bn |
| Dec 31, 2025 | 139.53 Bn |
| Sep 30, 2025 | 126.63 Bn |
| Jun 30, 2025 | 123.93 Bn |
| Mar 31, 2025 | 121.02 Bn |
| Dec 31, 2024 | 121.38 Bn |
| Sep 30, 2024 | 128.88 Bn |
| Jun 30, 2024 | 126.02 Bn |
| Mar 31, 2024 | 136.10 Bn |
| Dec 31, 2023 | 137.70 Bn |
| Sep 30, 2023 | 134.44 Bn |
| Jun 30, 2023 | 137.87 Bn |
| Mar 31, 2023 | 140.77 Bn |
| Dec 31, 2022 | 140.68 Bn |
| Sep 30, 2022 | 132.91 Bn |
| Jun 30, 2022 | 136.18 Bn |
| Mar 31, 2022 | 139.96 Bn |
| Dec 31, 2021 | 143.43 Bn |
| Sep 30, 2021 | 143.35 Bn |
Verizon Communications Non-Current Debt 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=non-current-debt&ticker=VZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=VZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();