Telecom Argentina (TEO) Cost of Revenue (2009 - 2024)
Telecom Argentina's Cost of Revenue came in at $606.58 billion for the quarter ended Jun 30, 2024, down 11.8% from $687.7 billion a year earlier.
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Analysis
Telecom Argentina (TEO) Cost of Revenue (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Jun 30, 2024, Telecom Argentina reported Cost of Revenue of $1.54 trillion, up 35.5% year-over-year; for the year ended Dec 31, 2023, it was $1.48 trillion, up 179.8% from the prior year.
- Cost of Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 67.7% (years ended Dec 2018 to Dec 2023).
- Going back by year, Cost of Revenue was $528.8 billion in the year ended Dec 31, 2022 (+80.6%), $292.73 billion in the year ended Dec 31, 2021 (+47.3%), $198.71 billion in the year ended Dec 31, 2020 (+24.2%) and $159.94 billion in the year ended Dec 31, 2019 (+43.2%).
- The figure for the quarter ended Jun 30, 2024 represents the lowest quarterly Cost of Revenue since the quarter ended Dec 31, 2022.
- The fastest year-over-year change in Cost of Revenue over five years came in the quarter ended Sep 30, 2021 (growth of 720.4%), and the weakest in the quarter ended Jun 30, 2020 (a decline of 32.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 7.23 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 8.03 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 5.74 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 502.80 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 1.21 Bn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 1.93 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 23.57 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 1.70 Bn |
| 10 | Telecom Argentina | 5.06 Bn | 5,485.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 606.58 Bn |
| Jun 30, 2023 | 687.70 Bn |
| Dec 31, 2022 | -85.88 Bn |
| Sep 30, 2022 | 335.82 Bn |
| Jun 30, 2022 | 202.18 Bn |
| Mar 31, 2022 | 76.68 Bn |
| Dec 31, 2021 | 292.73 Bn |
| Sep 30, 2021 | 361.64 Bn |
| Jun 30, 2021 | 194.75 Bn |
| Mar 31, 2021 | 81.43 Bn |
| Dec 31, 2020 | 299.93 Bn |
| Sep 30, 2020 | 44.08 Bn |
| Jun 30, 2020 | 60.65 Bn |
| Mar 31, 2020 | 58.11 Bn |
| Dec 31, 2019 | 217.74 Bn |
| Sep 30, 2019 | 48.78 Bn |
| Jun 30, 2019 | 89.82 Bn |
| Mar 31, 2019 | 44.25 Bn |
| Dec 31, 2011 | 9.01 Bn |
| Sep 30, 2011 | -1.78 Bn |
API Access
Telecom Argentina Cost of Revenue 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=cost-of-revenue&ticker=TEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();