America Movil Sab De Cv (AMXOF) Exchange Rate Effect (2009 - 2025)
America Movil Sab De Cv's Exchange Rate Effect came in at -$166.88 billion for Q4 2025, compared with $153.03 billion a year earlier.
Analysis
America Movil Sab De Cv (AMXOF) Exchange Rate Effect (2009 - 2025) Analysis & Trends
For FY2025, America Movil Sab De Cv's Exchange Rate Effect was -$19.34 trillion.
- Going back by year, Exchange Rate Effect was $152 million in FY2024, -$311 million in FY2023, -$235 million in FY2022 and -$74 million in FY2021.
- The Q4 2025 figure represents the lowest quarterly Exchange Rate Effect since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (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 | - | 2.00 Mn |
| 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 | 259,000.00 |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -115.97 Mn |
| Dec 31, 2024 | 25.96 Mn |
| Dec 31, 2023 | -100.28 Mn |
| Dec 31, 2022 | -80.07 Mn |
| Dec 31, 2021 | -14.65 Mn |
| Dec 31, 2020 | -137.73 Mn |
| Dec 31, 2015 | -183.68 Mn |
| Sep 30, 2015 | 104.07 Mn |
| Dec 31, 2014 | 57.75 Mn |
| Sep 30, 2014 | -182.99 Mn |
| Dec 31, 2013 | 120.92 Mn |
| Sep 30, 2013 | -56.98 Mn |
| Dec 31, 2012 | 38.95 Mn |
| Sep 30, 2012 | -483.76 Mn |
| Jun 30, 2010 | 42.56 Mn |
| Mar 31, 2010 | 7.07 Mn |
| Mar 31, 2009 | -112.40 Mn |
API Access
America Movil Sab De Cv Exchange Rate Effect 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=exchange-rate-effect&ticker=AMXOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AMXOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();