Trinity Industries (TRN) Restructuring Costs (2019 - 2024)
Trinity Industries (TRN) recorded Restructuring Costs of $4.3 million in Q4 2024.
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Analysis
Trinity Industries (TRN) Restructuring Costs (2019 - 2024) Analysis & Trends
Starting with Q4 2019, Trinity Industries' Restructuring Costs history includes 13 quarters.
- Annual Restructuring Costs has a five-year compound annual growth rate of -21.7% (FY2019 to FY2024).
- Across earlier years, Restructuring Costs came in at -$2.2 million in FY2023, $1 million in FY2022, -$3.7 million in FY2021 and $10.9 million in FY2020 (-25.3%).
- The Q4 2024 figure is the highest quarterly Restructuring Costs since Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn |
| 10 | Trinity Industries | 2.13 Bn | 1.57 Bn | 109.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 4.30 Mn |
| Jun 30, 2023 | -1.80 Mn |
| Mar 31, 2023 | -400,000.00 |
| Jun 30, 2022 | 1.00 Mn |
| Dec 31, 2021 | -2.60 Mn |
| Sep 30, 2021 | -100,000.00 |
| Jun 30, 2021 | -700,000.00 |
| Mar 31, 2021 | -300,000.00 |
| Dec 31, 2020 | 500,000.00 |
| Sep 30, 2020 | 4.70 Mn |
| Jun 30, 2020 | 300,000.00 |
| Mar 31, 2020 | 5.40 Mn |
| Dec 31, 2019 | 14.60 Mn |
API Access
Trinity Industries 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=TRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "TRN", "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=TRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();