Vodafone Group Public (VOD) Non Operating Interest Expenses (2016 - 2025)
Vodafone Group Public (VOD) recorded Non Operating Interest Expenses of -$2.46 billion in the quarter ended Dec 31, 2014.
Vodafone Group Public (VOD) Non Operating Interest Expenses (2016 - 2025) Analysis & Trends
On a TTM basis, Vodafone Group Public's Non Operating Interest Expenses came in at -$6.21 billion as of Dec 31, 2014; for the year ended Mar 31, 2014, it came in at -$2.47 billion.
- Across earlier years, Non Operating Interest Expenses came in at $2.5 billion in the year ended Dec 31, 2013 (-10.9%), $2.8 billion in the year ended Dec 31, 2012, -$687.96 million in the year ended Dec 31, 2011 and $9 million in the year ended Dec 31, 2010 (-86.4%).
- The figure for the quarter ended Dec 31, 2014 is the lowest quarterly Non Operating Interest Expenses since the quarter ended May 23, 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 1.99 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 | 1.88 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 1.05 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | -3.33 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | - |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | -141.00 Mn |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 339.05 Mn |
Historic Data
| Date | Value |
|---|---|
| May 20, 2025 | -2.12 Bn |
| Dec 31, 2024 | -2.81 Bn |
| Mar 31, 2018 | 2.82 Bn |
| Dec 31, 2017 | -1.66 Bn |
| May 16, 2017 | -1.51 Bn |
| Dec 31, 2016 | -2.21 Bn |
Vodafone Group Public Non Operating Interest 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=non-operating-interest-expenses&ticker=VOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=VOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();