Gatx (GATX) Change in Taxes (2009 - 2018)
Gatx's Change in Taxes was $200,000 in Q3 2018.
Analysis
Gatx (GATX) Change in Taxes (2009 - 2018) Analysis & Trends
For FY2017, Change in Taxes at Gatx came in at -$4.6 million.
- In earlier years, Change in Taxes was -$5.7 million in FY2016, $7.4 million in FY2015, -$4.4 million in FY2014 and $4.5 million in FY2013.
- Quarterly Change in Taxes has moved between -$9 million (Q1 2016) and $6.3 million (Q4 2013) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | - |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | - |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | -114.00 Mn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | - |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | -106.00 Mn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | -13.50 Mn |
| 10 | Gatx | 5.92 Bn | 3.80 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 200,000.00 |
| Jun 30, 2018 | -600,000.00 |
| Dec 31, 2017 | 300,000.00 |
| Jun 30, 2017 | 1.30 Mn |
| Mar 31, 2017 | -6.20 Mn |
| Dec 31, 2016 | 2.40 Mn |
| Sep 30, 2016 | 900,000.00 |
| Mar 31, 2016 | -9.00 Mn |
| Jun 30, 2015 | 1.40 Mn |
| Mar 31, 2015 | -700,000.00 |
| Dec 31, 2013 | 6.30 Mn |
| Dec 31, 2012 | 500,000.00 |
| Sep 30, 2012 | -13.90 Mn |
| Jun 30, 2012 | 2.20 Mn |
| Mar 31, 2012 | 1.80 Mn |
| Dec 31, 2011 | -2.40 Mn |
| Sep 30, 2011 | 2.00 Mn |
| Jun 30, 2011 | 4.80 Mn |
| Mar 31, 2011 | 4.70 Mn |
| Dec 31, 2010 | -2.40 Mn |
API Access
Gatx Change in Taxes 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=change-in-taxes&ticker=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "GATX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();