America Movil Sab De Cv (AMXOF) Property, Plant & Equipment (Net) (2009 - 2026)
America Movil Sab De Cv's Property, Plant & Equipment (Net) came in at $39.09 billion for Q2 2026, up 8.7% from $35.96 billion a year earlier but down 1.1% from the prior quarter.
America Movil Sab De Cv (AMXOF) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, America Movil Sab De Cv's Property, Plant & Equipment (Net) was $38.25 billion, up 8.6% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $35.22 billion in FY2024 (-5.4%), $37.21 billion in FY2023 (+9.9%), $33.85 billion in FY2022 (-4.7%) and $35.52 billion in FY2021 (+4.8%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $37,108 (Q1 2022) to $39.5 billion (Q1 2026).
- Year-over-year, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with growth averaging 2.1% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2021 (growth of 21.6%), and the weakest in Q3 2022 (a decline of 7.0%).
- Business Quant data shows AMXOF's Property, Plant & Equipment (Net) at $39.5 billion (Q1 2026), $37.55 billion (Q4 2025) and $36.74 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 125.50 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 36.62 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 134.22 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | 3.42 Bn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 66.13 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | 39.19 Bn |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | 8.80 Bn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 1.76 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | 8.87 Bn |
| 10 | America Movil Sab De Cv | 3.40 Bn | -32.86 Bn | 20.71 Bn | 38.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.94 Bn |
| Mar 31, 2026 | 38.24 Bn |
| Dec 31, 2025 | 38.23 Bn |
| Sep 30, 2025 | 37.28 Bn |
| Jun 30, 2025 | 37.32 Bn |
| Mar 31, 2025 | 35.54 Bn |
| Dec 31, 2024 | 34.60 Bn |
| Sep 30, 2024 | 34.91 Bn |
| Jun 30, 2024 | 34.83 Bn |
| Mar 31, 2024 | 37.46 Bn |
| Dec 31, 2023 | 37.09 Bn |
| Sep 30, 2023 | 36.12 Bn |
| Jun 30, 2023 | 36.31 Bn |
| Mar 31, 2023 | 34.54 Bn |
| Dec 31, 2022 | 33.78 Bn |
| Sep 30, 2022 | 33.01 Bn |
| Jun 30, 2022 | 63.47 Bn |
| Mar 31, 2022 | 38.28 Bn |
| Dec 31, 2021 | 35.74 Bn |
| Sep 30, 2021 | 34.50 Bn |
America Movil Sab De Cv Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AMXOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AMXOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();