Grupo Televisa, S.A.B (TV) Operating Expenses (2009 - 2026)
Grupo Televisa, S.A.B (TV) reported Operating Expenses of -$117.85 million for the quarter ended Jun 30, 2026, compared with -$115.63 million a year earlier.
Grupo Televisa, S.A.B (TV) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Grupo Televisa, S.A.B's Operating Expenses came in at -$462.92 million; for the year ended Dec 31, 2025, it came in at -$520.29 million.
- By year, Operating Expenses came in at $18.74 million in the year ended Dec 31, 2024 (-93.9%), $307.65 million in the year ended Dec 31, 2023 (-14.9%), $361.52 million in the year ended Dec 31, 2022 (-67.2%) and $1.1 billion in the year ended Dec 31, 2021 (+7.9%).
- Five-year quarterly Operating Expenses spans a low of -$151.73 million in the quarter ended Dec 31, 2024 and a high of $644.41 million in the quarter ended Dec 31, 2023.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Dec 31, 2022 (growth of 235.7%); the low point was the quarter ended Jun 30, 2023 (a decline of 75.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$93.7 million (quarter ended Mar 31, 2026), -$104.24 million (quarter ended Dec 31, 2025) and -$147.12 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | -2.51 Bn |
| 10 | Telefonica Brasil | 18.02 Bn | 12.02 Bn | 1.42 Bn | -904.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -117.85 Mn |
| Mar 31, 2026 | -93.70 Mn |
| Dec 31, 2025 | -104.24 Mn |
| Sep 30, 2025 | -147.12 Mn |
| Jun 30, 2025 | -115.63 Mn |
| Mar 31, 2025 | -92.12 Mn |
| Dec 31, 2024 | -151.73 Mn |
| Sep 30, 2024 | -137.77 Mn |
| Mar 31, 2024 | 22.13 Mn |
| Dec 31, 2023 | 644.41 Mn |
| Sep 30, 2023 | 486.18 Mn |
| Jun 30, 2023 | 72.18 Mn |
| Mar 31, 2023 | 71.26 Mn |
| Dec 31, 2022 | 613.10 Mn |
| Sep 30, 2022 | 432.42 Mn |
| Jun 30, 2022 | 291.71 Mn |
| Mar 31, 2022 | 97,603.96 |
| Dec 31, 2021 | 182.64 Mn |
| Sep 30, 2021 | 419.94 Mn |
| Jun 30, 2021 | 271.07 Mn |
Grupo Televisa, S.A.B 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=operating-expenses&ticker=TV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TV", "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-expenses&ticker=TV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();