Grupo Tmm Sab (GTMAY) Total Liabilities (2016 - 2025)
Grupo Tmm Sab (GTMAY) reported Total Liabilities of $119.62 million for Q4 2025, up 27.3% from $93.94 million a year earlier.
Analysis
Grupo Tmm Sab (GTMAY) Total Liabilities (2016 - 2025) Analysis & Trends
Dating back to Q4 2016, Grupo Tmm Sab's Total Liabilities record includes 10 quarters.
- Total Liabilities has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $93.94 million in FY2024 (+27.5%), $73.67 million in FY2023 (-14.8%), $86.43 million in FY2022 (-5.4%) and $91.31 million in FY2021 (+5.3%).
- The Q4 2025 figure ranks as the highest quarterly Total Liabilities since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 50.54 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 30.64 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 56.17 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 29.33 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 28.87 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 63.54 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.19 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 67.87 Bn |
| 10 | Grupo Tmm Sab | 488.75 Mn | 440.53 Mn | - | 121.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 121.78 Mn |
| Dec 31, 2024 | 91.29 Mn |
| Dec 31, 2023 | 76.25 Mn |
| Dec 31, 2022 | 87.39 Mn |
| Dec 31, 2021 | 92.53 Mn |
| Dec 31, 2020 | 89.65 Mn |
| Dec 31, 2019 | 113.17 Mn |
| Dec 31, 2018 | 84.34 Mn |
| Dec 31, 2017 | 96.42 Mn |
| Dec 31, 2016 | 528.97 Mn |
API Access
Grupo Tmm Sab Total Liabilities 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=total-liabilities&ticker=GTMAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GTMAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();