Grupo Tmm Sab (GTMAY) Accumulated Expenses (2016 - 2025)
Grupo Tmm Sab (GTMAY) posted Accumulated Expenses of $21.33 million for Q4 2025, down 27.3% from $29.35 million a year earlier.
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Analysis
Grupo Tmm Sab (GTMAY) Accumulated Expenses (2016 - 2025) Analysis & Trends
Since Q4 2016, Grupo Tmm Sab has reported Accumulated Expenses for 10 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In prior years, Grupo Tmm Sab's Accumulated Expenses was $29.35 million in FY2024 (+51.1%), $19.42 million in FY2023 (-24.2%), $25.61 million in FY2022 (+13.0%) and $22.67 million in FY2021 (-11.2%).
- The Q4 2025 figure stands as the lowest quarterly Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - |
| 10 | Grupo Tmm Sab | 488.75 Mn | 440.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 21.71 Mn |
| Dec 31, 2024 | 28.52 Mn |
| Dec 31, 2023 | 20.10 Mn |
| Dec 31, 2022 | 25.90 Mn |
| Dec 31, 2021 | 22.98 Mn |
| Dec 31, 2020 | 26.40 Mn |
| Dec 31, 2019 | 26.41 Mn |
| Dec 31, 2018 | 18.20 Mn |
| Dec 31, 2017 | 17.40 Mn |
| Dec 31, 2016 | 19.57 Mn |
API Access
Grupo Tmm Sab Accumulated 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=accumulated-expenses&ticker=GTMAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GTMAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();