America Movil Sab De Cv (AMXOF) Operating Expenses (2009 - 2026)
America Movil Sab De Cv (AMXOF) reported Operating Expenses of $16.52 billion for Q2 2026, up 14.1% from $14.47 billion a year earlier and up 103.8% from the prior quarter.
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Analysis
America Movil Sab De Cv (AMXOF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, America Movil Sab De Cv's Operating Expenses came in at $65.66 billion, up 15.4% year-over-year; for FY2025, it came in at $41.87 billion, up 23.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -45.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $34 billion in FY2024 (-11.4%), $38.37 billion in FY2023 (+10.6%), $34.7 billion in FY2022 (+3.6%) and $33.49 billion in FY2021 (-96.1%).
- Five-year quarterly Operating Expenses spans a low of $6.11 billion in Q1 2022 and a high of $31.22 billion in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with an average decline of 1.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 146.2%); the low point was Q3 2024 (a decline of 57.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.11 billion (Q1 2026), $31.22 billion (Q4 2025) and $9.81 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 24.78 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | -125.27 Mn |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | 309.31 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 3.06 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | -904.61 Mn |
| 10 | America Movil Sab De Cv | 3.40 Bn | -32.86 Bn | 20.71 Bn | 16.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.52 Bn |
| Mar 31, 2026 | 8.11 Bn |
| Dec 31, 2025 | 31.22 Bn |
| Sep 30, 2025 | 9.81 Bn |
| Jun 30, 2025 | 14.47 Bn |
| Mar 31, 2025 | 6.90 Bn |
| Dec 31, 2024 | 26.18 Bn |
| Sep 30, 2024 | 9.32 Bn |
| Jun 30, 2024 | 14.26 Bn |
| Mar 31, 2024 | 7.23 Bn |
| Dec 31, 2023 | 28.30 Bn |
| Sep 30, 2023 | 21.93 Bn |
| Jun 30, 2023 | 14.14 Bn |
| Mar 31, 2023 | 6.77 Bn |
| Dec 31, 2022 | 26.18 Bn |
| Sep 30, 2022 | 18.98 Bn |
| Jun 30, 2022 | 12.78 Bn |
| Mar 31, 2022 | 6.11 Bn |
| Dec 31, 2021 | 24.45 Bn |
| Sep 30, 2021 | 19.36 Bn |
API Access
America Movil Sab De Cv 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=AMXOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMXOF", "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=AMXOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();