Gatx (GATX) Exchange Rate Effect (2009 - 2026)
Gatx's (GATX) quarterly Exchange Rate Effect came in at -$1.9 million in Q2 2026, down 173.08% year-over-year from $2.6 million in Q2 2025, and down 11.76% quarter-over-quarter from -$1.7 million in Q1 2026.
Gatx (GATX) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Gatx has disclosed Exchange Rate Effect across 18 years of filings, most recently posting -$1.9 million for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 173.08% year-over-year to -$1.9 million; the TTM figure through Jun 2026 stood at -$3.9 million (down 169.64% YoY), while the FY2025 annual figure was $7.0 million, up 242.86% from the prior year.
- Exchange Rate Effect came in at -$1.9 million for Q2 2026 at Gatx, down from -$1.7 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $4.7 million in Q1 2025 to a low of -$4.1 million in Q4 2024.
- Average Exchange Rate Effect over 5 years is -$282352.9, with a median of -$600000.0 recorded in 2024.
- Year-over-year, Exchange Rate Effect surged 575.0% in 2022 and sank 1200.0% in 2024.
- Over 5 years, Exchange Rate Effect stood at $1.9 million in 2022, then fell by 5.26% to $1.8 million in 2023, then plunged by 327.78% to -$4.1 million in 2024, then surged by 92.68% to -$300000.0 in 2025, then plunged by 533.33% to -$1.9 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$1.9 million in Q2 2026, -$1.7 million in Q1 2026, and -$300000.0 in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Westinghouse Air Brake Technologies | 47.94 Bn | 47.30 Bn | 1.16 Bn | 1.00 Mn |
| 2 | Gatx | 6.37 Bn | 7.18 Bn | 555.30 Mn | -1.90 Mn |
| 3 | Trinity Industries | 2.22 Bn | 2.07 Bn | 109.90 Mn | - |
| 4 | Triton International | 1.41 Bn | 1.41 Bn | 622,000.00 | - |
| 5 | Greenbrier Companies | 1.30 Bn | 1.15 Bn | 81.10 Mn | 700,000.00 |
| 6 | Foster L B | 387.55 Mn | 382.66 Mn | 30.87 Mn | -13,000.00 |
| 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 | -1.90 Mn |
| Mar 31, 2026 | -1.70 Mn |
| Sep 30, 2025 | -300,000.00 |
| Jun 30, 2025 | 2.60 Mn |
| Mar 31, 2025 | 4.70 Mn |
| Dec 31, 2024 | -4.10 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | -600,000.00 |
| Mar 31, 2024 | -2.60 Mn |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | -1.20 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | -200,000.00 |
| Dec 31, 2022 | 1.90 Mn |
| Sep 30, 2022 | -3.40 Mn |
| Jun 30, 2022 | -1.60 Mn |
| Mar 31, 2022 | -1.80 Mn |
| Dec 31, 2021 | -400,000.00 |
| Sep 30, 2021 | -1.20 Mn |
| Jun 30, 2021 | 1.60 Mn |
Gatx Exchange Rate Effect 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=exchange-rate-effect&ticker=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();