Grupo Tmm Sab (GTMAY) Restructuring Costs (2009 - 2025)
Grupo Tmm Sab's Restructuring Costs was -$885,095 in Q4 2025, compared with -$658,331 a year earlier.
Analysis
Grupo Tmm Sab (GTMAY) Restructuring Costs (2009 - 2025) Analysis & Trends
For FY2025, Restructuring Costs at Grupo Tmm Sab came in at -$3.19 million.
- In earlier years, Restructuring Costs was $3.25 million in FY2024 (-6.5%), $3.48 million in FY2023 (-14.8%), $4.08 million in FY2022 (+12.0%) and $3.64 million in FY2021 (-19.4%).
- The Q4 2025 figure marks the lowest quarterly Restructuring Costs since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Grupo Tmm Sab | 523.66 Mn | 376.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -885,095.48 |
| Dec 31, 2024 | -658,331.03 |
| Dec 31, 2023 | -797,985.78 |
| Dec 31, 2022 | -1.20 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Dec 31, 2020 | -816,830.80 |
| Dec 31, 2019 | -2.27 Mn |
| Dec 31, 2018 | -2.96 Mn |
| Dec 31, 2017 | -1.46 Mn |
| Dec 31, 2016 | -358,623.56 |
| Dec 31, 2015 | -262,556.21 |
| Jun 30, 2015 | -72.00 Mn |
| Mar 31, 2015 | -54.40 Mn |
| Dec 31, 2014 | -175,068.00 |
| Sep 30, 2014 | -51.70 Mn |
| Jun 30, 2014 | -59.20 Mn |
| Mar 31, 2014 | -50.00 Mn |
| Dec 31, 2013 | -35.30 Mn |
| Sep 30, 2013 | -57.00 Mn |
| Jun 30, 2013 | -39.60 Mn |
API Access
Grupo Tmm Sab Restructuring Costs 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=restructuring-costs&ticker=GTMAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GTMAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();