Vodafone Group Public (VOD) Other Operating Expenses (2017 - 2026)
Vodafone Group Public's Other Operating Expenses was $16.35 billion in the year ended Dec 31, 2013, down 2.5% from $16.78 billion a year earlier.
Vodafone Group Public (VOD) Other Operating Expenses (2017 - 2026) Analysis & Trends
From the year ended Dec 31, 2009 onward, Vodafone Group Public has reported Other Operating Expenses for 5 years.
- Other Operating Expenses shows a four-year compound annual growth rate of 7.6% (years ended Dec 2009 to Dec 2013).
- Annual Other Operating Expenses has moved between $11.42 billion (the year ended Dec 31, 2010) and $16.78 billion (the year ended Dec 31, 2012) over five years.
- Per Business Quant data, Other Operating Expenses in earlier years was $16.78 billion in the year ended Dec 31, 2012 (+4.3%), $16.09 billion in the year ended Dec 31, 2011 (+40.9%), $11.42 billion in the year ended Dec 31, 2010 (-6.5%) and $12.22 billion in the year ended Dec 31, 2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.48 Bn |
| Sep 30, 2025 | 804.31 Mn |
| May 20, 2025 | 620.78 Mn |
| Mar 31, 2025 | 620.61 Mn |
| Sep 30, 2024 | 755.58 Mn |
| Dec 31, 2017 | 20.88 Bn |
Vodafone Group Public Other Operating Expenses 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=other-operating-expenses&ticker=VOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "VOD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=VOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();