Grupo Tmm Sab (GTMAY) Property, Plant & Equipment (Net) (2016 - 2025)
Grupo Tmm Sab's Property, Plant & Equipment (Net) came in at $149.29 million for Q4 2025, up 31.8% from $113.28 million a year earlier.
Analysis
Grupo Tmm Sab (GTMAY) Property, Plant & Equipment (Net) (2016 - 2025) Analysis & Trends
Going back to Q4 2016, Grupo Tmm Sab's Property, Plant & Equipment (Net) data covers 10 quarters.
- Property, Plant & Equipment (Net) has increased in each of the last four years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $113.28 million in FY2024 (+8.8%), $104.09 million in FY2023 (+37.4%), $75.77 million in FY2022 (+2.0%) and $74.32 million in FY2021 (-39.6%).
- The Q4 2025 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 60.20 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 36.95 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 37.89 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 40.23 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 36.63 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 42.04 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 42.21 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 4.44 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 47.96 Bn |
| 10 | Grupo Tmm Sab | 488.75 Mn | 440.53 Mn | - | 151.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 151.99 Mn |
| Dec 31, 2024 | 110.09 Mn |
| Dec 31, 2023 | 107.73 Mn |
| Dec 31, 2022 | 76.62 Mn |
| Dec 31, 2021 | 75.32 Mn |
| Dec 31, 2020 | 127.29 Mn |
| Dec 31, 2019 | 120.81 Mn |
| Dec 31, 2018 | 117.76 Mn |
| Dec 31, 2017 | 133.48 Mn |
| Dec 31, 2016 | 461.67 Mn |
API Access
Grupo Tmm Sab 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=GTMAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GTMAY", "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=GTMAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();