Telecom Argentina (TEO) Change in Accured Expenses (2009 - 2021)
Telecom Argentina's Change in Accured Expenses was $5.1 billion in the quarter ended Mar 31, 2021, compared with -$385 million a year earlier.
Powered by 
Analysis
Telecom Argentina (TEO) Change in Accured Expenses (2009 - 2021) Analysis & Trends
On a trailing twelve-month basis, Telecom Argentina's Change in Accured Expenses was -$5.73 billion through Mar 31, 2021; for the year ended Dec 31, 2020, it came in at -$11.21 billion.
- In earlier years, Change in Accured Expenses was -$25.67 billion in the year ended Dec 31, 2019, -$24.93 billion in the year ended Dec 31, 2018, -$2.21 billion in the year ended Dec 31, 2017 and -$1.35 billion in the year ended Dec 31, 2016.
- The figure for the quarter ended Mar 31, 2021 marks the highest quarterly Change in Accured Expenses since the quarter ended Jun 30, 2018.
- Per Business Quant data, TEO's Change in Accured Expenses in the three quarters before the quarter ended Mar 31, 2021 was -$3.16 billion (quarter ended Dec 31, 2020), -$3.61 billion (quarter ended Sep 30, 2020) and -$4.06 billion (quarter ended Jun 30, 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | -265.00 Mn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 205.00 Mn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | -161.00 Mn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | - |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 21.50 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | - |
| 10 | Telecom Argentina | 5.06 Bn | 5,485.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 5.10 Bn |
| Dec 31, 2020 | -3.16 Bn |
| Sep 30, 2020 | -3.61 Bn |
| Jun 30, 2020 | -4.06 Bn |
| Mar 31, 2020 | -385.00 Mn |
| Dec 31, 2019 | -7.60 Bn |
| Sep 30, 2019 | -3.53 Bn |
| Jun 30, 2019 | -5.10 Bn |
| Mar 31, 2019 | -9.45 Bn |
| Dec 31, 2018 | -15.59 Bn |
| Sep 30, 2018 | -7.38 Bn |
| Jun 30, 2018 | 10.28 Bn |
| Mar 31, 2018 | -12.23 Bn |
| Jun 30, 2017 | 2.28 Bn |
| Mar 31, 2017 | -3.00 Mn |
| Mar 31, 2011 | -30.00 Mn |
| Jun 30, 2010 | 246.00 Mn |
| Mar 31, 2010 | -139.00 Mn |
| Sep 30, 2009 | 147.00 Mn |
| Jun 30, 2009 | -44.00 Mn |
API Access
Telecom Argentina Change in Accured 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=change-in-accured-expenses&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();