Gatx (GATX) Tax Provisions (2009 - 2026)
Gatx's (GATX) quarterly Tax Provisions came in at $26.0 million in Q2 2026, up 23.81% year-over-year from $21.0 million in Q2 2025, and up 22.64% quarter-over-quarter from $21.2 million in Q1 2026.
Gatx (GATX) Tax Provisions (2009 - 2026) Analysis & Trends
Gatx has disclosed Tax Provisions across 18 years of filings, most recently posting $26.0 million for Q2 2026.
- In Q2 2026, Tax Provisions rose 23.81% year-over-year to $26.0 million; the TTM figure through Jun 2026 stood at $72.7 million (up 5.98% YoY), while the FY2025 annual figure was $63.1 million, up 5.17% from the prior year.
- Tax Provisions came in at $26.0 million for Q2 2026 at Gatx, up from $21.2 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $26.0 million in Q2 2026 to a low of $2.7 million in Q2 2022.
- Average Tax Provisions over 5 years is $15.8 million, with a median of $16.5 million recorded in 2025.
- Year-over-year, Tax Provisions tumbled 80.15% in 2022 and surged 551.85% in 2023.
- Over 5 years, Tax Provisions stood at $16.0 million in 2022, then plunged by 60.0% to $6.4 million in 2023, then increased by 26.56% to $8.1 million in 2024, then rose by 12.35% to $9.1 million in 2025, then soared by 185.71% to $26.0 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $26.0 million in Q2 2026, $21.2 million in Q1 2026, and $9.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Westinghouse Air Brake Technologies | 47.94 Bn | 47.30 Bn | 1.16 Bn | 122.00 Mn |
| 2 | Gatx | 6.37 Bn | 7.18 Bn | 555.30 Mn | 26.00 Mn |
| 3 | Trinity Industries | 2.22 Bn | 2.07 Bn | 109.90 Mn | 31.80 Mn |
| 4 | Triton International | 1.41 Bn | 1.41 Bn | 622,000.00 | 11.38 Mn |
| 5 | Greenbrier Companies | 1.30 Bn | 1.15 Bn | 81.10 Mn | 3.00 Mn |
| 6 | Foster L B | 387.55 Mn | 382.66 Mn | 30.87 Mn | 2.34 Mn |
| 7 | FreightCar America | 240.12 Mn | 175.82 Mn | - | - |
| 8 | GenFlat Holdings | 32.89 Mn | 28.89 Mn | -32,922.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.00 Mn |
| Mar 31, 2026 | 21.20 Mn |
| Dec 31, 2025 | 9.10 Mn |
| Sep 30, 2025 | 16.40 Mn |
| Jun 30, 2025 | 21.00 Mn |
| Mar 31, 2025 | 16.60 Mn |
| Dec 31, 2024 | 8.10 Mn |
| Sep 30, 2024 | 22.90 Mn |
| Jun 30, 2024 | 10.40 Mn |
| Mar 31, 2024 | 18.60 Mn |
| Dec 31, 2023 | 6.40 Mn |
| Sep 30, 2023 | 14.50 Mn |
| Jun 30, 2023 | 17.60 Mn |
| Mar 31, 2023 | 20.20 Mn |
| Dec 31, 2022 | 16.00 Mn |
| Sep 30, 2022 | 13.70 Mn |
| Jun 30, 2022 | 2.70 Mn |
| Mar 31, 2022 | 22.40 Mn |
| Dec 31, 2021 | 16.80 Mn |
| Sep 30, 2021 | 14.40 Mn |
Gatx Tax Provisions 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=tax-provisions&ticker=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();