Telecom Argentina (TEO) Operating Interest Expenses (2011 - 2017)
Telecom Argentina (TEO) recorded Operating Interest Expenses of -$634.31 billion in the year ended Dec 31, 2023.
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Analysis
Telecom Argentina (TEO) Operating Interest Expenses (2011 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | - |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | - |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | - |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | - |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | - |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | - |
| 10 | Telecom Argentina | 5.29 Bn | 5,485.61 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -928.00 Mn |
| Jun 30, 2017 | -450.00 Mn |
| Dec 31, 2016 | -1.61 Bn |
| Jun 30, 2016 | -701.00 Mn |
| Dec 31, 2015 | -566.00 Mn |
| Sep 30, 2015 | -8.00 Mn |
| Mar 31, 2015 | -44.00 Mn |
| Dec 31, 2014 | -30.00 Mn |
| Sep 30, 2014 | -20.00 Mn |
| Jun 30, 2014 | -12.00 Mn |
| Mar 31, 2014 | -6.00 Mn |
| Dec 31, 2013 | -17.00 Mn |
| Jun 30, 2013 | -8.00 Mn |
| Mar 31, 2013 | -4.00 Mn |
| Dec 31, 2012 | -13.00 Mn |
| Sep 30, 2012 | -2.00 Mn |
| Jun 30, 2012 | -7.00 Mn |
| Dec 31, 2011 | -16.00 Mn |
| Sep 30, 2011 | -4.00 Mn |
API Access
Telecom Argentina 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=operating-interest-expenses&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "TEO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();