Grupo Tmm Sab (GTMAY) Total Non-Current Liabilities (2009 - 2026)
Grupo Tmm Sab (GTMAY) posted Total Non-Current Liabilities of $53.43 million for Q3 2026, down 17.1% from $64.48 million a year earlier and down 8.3% from the prior quarter.
Grupo Tmm Sab (GTMAY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Grupo Tmm Sab's Total Non-Current Liabilities came in at $62.55 million, up 101.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Grupo Tmm Sab's Total Non-Current Liabilities was $31.1 million in FY2024 (+63.4%), $19.04 million in FY2023 (-24.4%), $25.18 million in FY2022 (-22.3%) and $32.39 million in FY2021 (-23.3%).
- The Q3 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last six quarters, with growth averaging 116.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 310.3%; the weakest was Q4 2023, with a decline of 24.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $58.25 million (Q2 2026), $57.92 million (Q1 2026) and $62.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 48.84 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 53.87 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.27 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 29.45 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 60.43 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 27.52 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 29.96 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 40.73 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 639.21 Mn |
| 10 | Grupo Tmm Sab | 523.66 Mn | 376.05 Mn | - | 53.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 53.43 Mn |
| Jun 30, 2026 | 58.25 Mn |
| Mar 31, 2026 | 57.92 Mn |
| Dec 31, 2025 | 62.55 Mn |
| Sep 30, 2025 | 64.48 Mn |
| Mar 31, 2025 | 67.19 Mn |
| Dec 31, 2024 | 31.10 Mn |
| Sep 30, 2024 | 15.72 Mn |
| Jun 30, 2024 | 18.24 Mn |
| Mar 31, 2024 | 19.08 Mn |
| Dec 31, 2023 | 19.04 Mn |
| Dec 31, 2022 | 25.18 Mn |
| Sep 30, 2022 | 29.61 Mn |
| Jun 30, 2022 | 32.61 Mn |
| Mar 31, 2022 | 32.17 Mn |
| Dec 31, 2021 | 32.39 Mn |
| Sep 30, 2021 | 38.20 Mn |
| Jun 30, 2021 | 39.97 Mn |
| Mar 31, 2021 | 39.75 Mn |
| Dec 31, 2020 | 42.24 Mn |
Grupo Tmm Sab Total Non-Current 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-non-current-liabilities&ticker=GTMAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GTMAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();