Verizon Communications (VZ) Total Liabilities (2009 - 2026)
Verizon Communications (VZ) reported Total Liabilities of $304.99 billion for Q2 2026, up 9.3% from $278.92 billion a year earlier but down 2.6% from the prior quarter.
Verizon Communications (VZ) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Verizon Communications posted Total Liabilities of $298.52 billion, up 5.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $284.14 billion in FY2024 (-0.8%), $286.46 billion in FY2023 (-0.3%), $287.22 billion in FY2022 (+1.3%) and $283.4 billion in FY2021 (+14.6%).
- Five-year quarterly Total Liabilities spans a low of $274.97 billion in Q3 2021 and a high of $313.26 billion in Q1 2026.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 2.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 19.3%); the low point was Q1 2025 (a decline of 2.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $313.26 billion (Q1 2026), $298.52 billion (Q4 2025) and $281.99 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 304.99 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 157.29 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 301.93 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 7.70 Bn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 167.78 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | 5.92 Bn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 25.22 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 3.46 Bn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 41.11 Bn |
| 10 | Telefonica Brasil | 18.18 Bn | 12.18 Bn | 1.42 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304.99 Bn |
| Mar 31, 2026 | 313.26 Bn |
| Dec 31, 2025 | 298.52 Bn |
| Sep 30, 2025 | 281.99 Bn |
| Jun 30, 2025 | 278.92 Bn |
| Mar 31, 2025 | 278.33 Bn |
| Dec 31, 2024 | 284.14 Bn |
| Sep 30, 2024 | 283.50 Bn |
| Jun 30, 2024 | 281.61 Bn |
| Mar 31, 2024 | 284.43 Bn |
| Dec 31, 2023 | 286.46 Bn |
| Sep 30, 2023 | 285.74 Bn |
| Jun 30, 2023 | 283.45 Bn |
| Mar 31, 2023 | 283.50 Bn |
| Dec 31, 2022 | 287.22 Bn |
| Sep 30, 2022 | 286.31 Bn |
| Jun 30, 2022 | 282.79 Bn |
| Mar 31, 2022 | 280.54 Bn |
| Dec 31, 2021 | 283.40 Bn |
| Sep 30, 2021 | 274.97 Bn |
Verizon Communications Total Liabilities 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=total-liabilities&ticker=VZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();