Verizon Communications (VZ) Receivables (2009 - 2026)
Verizon Communications (VZ) posted Receivables of $27.43 billion for Q2 2026, up 0.7% from $27.23 billion a year earlier but down 0.4% from the prior quarter.
Verizon Communications (VZ) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Verizon Communications' Receivables came in at $28.5 billion, up 4.4% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Verizon Communications' Receivables was $27.31 billion in FY2024 (+5.1%), $26 billion in FY2023 (+3.3%), $25.16 billion in FY2022 (+2.3%) and $24.59 billion in FY2021 (+2.8%).
- Quarterly Receivables has run from a low of $22.2 billion in Q3 2021 to a high of $28.5 billion in Q4 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last three quarters, with growth averaging 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2022, with growth of 15.8%; the weakest was Q2 2023, with a decline of 3.6%.
- According to Business Quant data, Receivables for the three prior quarters was $27.54 billion (Q1 2026), $28.5 billion (Q4 2025) and $26.76 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 27.43 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 6.25 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 12.91 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 874.30 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 13.96 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 1.10 Bn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 905.61 Mn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 90.20 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 3.41 Bn |
| 10 | Telefonica Brasil | 18.28 Bn | 12.27 Bn | 1.42 Bn | 96.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.43 Bn |
| Mar 31, 2026 | 27.54 Bn |
| Dec 31, 2025 | 28.50 Bn |
| Sep 30, 2025 | 26.76 Bn |
| Jun 30, 2025 | 27.23 Bn |
| Mar 31, 2025 | 26.70 Bn |
| Dec 31, 2024 | 27.31 Bn |
| Sep 30, 2024 | 26.79 Bn |
| Jun 30, 2024 | 26.36 Bn |
| Mar 31, 2024 | 26.09 Bn |
| Dec 31, 2023 | 26.00 Bn |
| Sep 30, 2023 | 24.14 Bn |
| Jun 30, 2023 | 23.73 Bn |
| Mar 31, 2023 | 23.44 Bn |
| Dec 31, 2022 | 25.16 Bn |
| Sep 30, 2022 | 24.36 Bn |
| Jun 30, 2022 | 24.61 Bn |
| Mar 31, 2022 | 23.62 Bn |
| Dec 31, 2021 | 24.59 Bn |
| Sep 30, 2021 | 22.20 Bn |
Verizon Communications Receivables 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=receivables&ticker=VZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();