Grupo Tmm Sab (GTMAY) Cash & Equivalents (2016 - 2025)
Grupo Tmm Sab (GTMAY) reported Cash & Equivalents of $27.02 million for Q4 2025, up 161.6% from $10.33 million a year earlier.
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Analysis
Grupo Tmm Sab (GTMAY) Cash & Equivalents (2016 - 2025) Analysis & Trends
Dating back to Q4 2016, Grupo Tmm Sab's Cash & Equivalents record includes 10 quarters.
- Cash & Equivalents has increased for four consecutive years, with a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $10.33 million in FY2024 (+84.2%), $5.61 million in FY2023 (+16.5%), $4.82 million in FY2022 (+152.3%) and $1.91 million in FY2021 (-62.7%).
- The Q4 2025 figure ranks as the highest quarterly Cash & Equivalents since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 2.21 Bn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 1.22 Bn |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 257.58 Mn |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 4.65 Bn |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 1.60 Bn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 3.79 Bn |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 6.65 Bn |
| 10 | Grupo Tmm Sab | 572.53 Mn | 524.31 Mn | - | 27.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 27.51 Mn |
| Dec 31, 2024 | 10.04 Mn |
| Dec 31, 2023 | 5.80 Mn |
| Dec 31, 2022 | 4.87 Mn |
| Dec 31, 2021 | 1.93 Mn |
| Dec 31, 2020 | 5.29 Mn |
| Dec 31, 2019 | 25.20 Mn |
| Dec 31, 2018 | 14.19 Mn |
| Dec 31, 2017 | 21.47 Mn |
| Dec 31, 2016 | 41.58 Mn |
API Access
Grupo Tmm Sab Cash & Equivalents 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=cash-and-equivalents&ticker=GTMAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GTMAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();