America Movil Sab De Cv (AMXOF) Other Operating Expenses (2009 - 2026)
America Movil Sab De Cv (AMXOF) reported Other Operating Expenses of $3.42 billion for Q2 2026, up 18.5% from $2.89 billion a year earlier and up 102.8% from the prior quarter.
America Movil Sab De Cv (AMXOF) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, America Movil Sab De Cv's Other Operating Expenses came in at $11.91 billion, up 37.9% year-over-year; for FY2025, it came in at $377 million, up 4.7% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of -39.7% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $360 million in FY2024 (-12.6%), $412 million in FY2023 (+59.7%), $258 million in FY2022 (+8.9%) and $237 million in FY2021 (-95.0%).
- Five-year quarterly Other Operating Expenses spans a low of $34.28 million in Q1 2022 and a high of $6.71 billion in Q4 2025.
- Year over year, Other Operating Expenses gained in two of the last seven quarters, with an average decline of 12.5%.
- The high point for year-over-year Other Operating Expenses in five years was Q1 2023 (growth of 349.2%); the low point was Q3 2024 (a decline of 97.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.69 billion (Q1 2026), $6.71 billion (Q4 2025) and $86.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn |
| 10 | America Movil Sab De Cv | 3.40 Bn | -32.86 Bn | 20.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.45 Bn |
| Mar 31, 2026 | 5.14 Bn |
| Dec 31, 2025 | 370.24 Bn |
| Sep 30, 2025 | 86.82 Mn |
| Jun 30, 2025 | 73.60 Mn |
| Mar 31, 2025 | 75.00 Mn |
| Dec 31, 2024 | 363.75 Bn |
| Sep 30, 2024 | 102.50 Mn |
| Jun 30, 2024 | 101.88 Mn |
| Mar 31, 2024 | 75.34 Mn |
| Dec 31, 2023 | 396.72 Bn |
| Sep 30, 2023 | 19.40 Bn |
| Jun 30, 2023 | 9.17 Bn |
| Mar 31, 2023 | 154.00 Mn |
| Dec 31, 2022 | 254.51 Bn |
| Sep 30, 2022 | 56.43 Mn |
| Jun 30, 2022 | 65.70 Mn |
| Mar 31, 2022 | 34.28 Mn |
| Dec 31, 2021 | 228.36 Bn |
| Sep 30, 2021 | 46.30 Mn |
America Movil Sab De Cv Other 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=other-operating-expenses&ticker=AMXOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=AMXOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();