Gatx (GATX) Gains from Sales and Divestitures (2009 - 2026)
Gatx (GATX) reported Gains from Sales and Divestitures of $69.6 million for Q2 2026, up 72.7% from $40.3 million a year earlier and up 32.3% from the prior quarter.
Gatx (GATX) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gatx's Gains from Sales and Divestitures came in at $185 million, up 20.6% year-over-year; for FY2025, it was $140 million, up 1.6% from FY2024.
- Gains from Sales and Divestitures has increased for five consecutive years, with a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- By year, Gains from Sales and Divestitures came in at $137.8 million in FY2024 (+5.3%), $130.9 million in FY2023 (+8.0%), $121.2 million in FY2022 (+21.9%) and $99.4 million in FY2021 (+151.6%).
- The Q2 2026 figure ranks as the highest quarterly Gains from Sales and Divestitures since Q1 2022.
- Year over year, Gains from Sales and Divestitures has now increased in each of the last three quarters, with growth averaging 46.0% over the last eight quarters.
- The high point for year-over-year Gains from Sales and Divestitures in five years was Q2 2023 (growth of 529.2%); the low point was Q2 2022 (a decline of 80.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $52.6 million (Q1 2026), $39.8 million (Q4 2025) and $23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 316.15 Bn | 287.84 Bn | 7.76 Bn |
| 2 | Amphenol | 181.56 Bn | 176.14 Bn | 3.55 Bn |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn |
| 4 | Eaton | 142.35 Bn | 139.53 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 111.11 Bn | 109.23 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.49 Bn | 83.23 Bn | 2.66 Bn |
| 7 | 3M | 90.21 Bn | 71.66 Bn | 2.78 Bn |
| 8 | Illinois Tool Works | 79.13 Bn | 75.69 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.00 Bn | 65.62 Bn | 1.23 Bn |
| 10 | Gatx | 5.90 Bn | 2.98 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.60 Mn |
| Mar 31, 2026 | 52.60 Mn |
| Dec 31, 2025 | 39.80 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Jun 30, 2025 | 40.30 Mn |
| Mar 31, 2025 | 36.90 Mn |
| Dec 31, 2024 | 27.80 Mn |
| Sep 30, 2024 | 48.40 Mn |
| Jun 30, 2024 | 25.50 Mn |
| Mar 31, 2024 | 36.10 Mn |
| Dec 31, 2023 | 25.30 Mn |
| Sep 30, 2023 | 16.60 Mn |
| Jun 30, 2023 | 40.90 Mn |
| Mar 31, 2023 | 48.10 Mn |
| Dec 31, 2022 | 30.20 Mn |
| Sep 30, 2022 | 13.70 Mn |
| Jun 30, 2022 | 6.50 Mn |
| Mar 31, 2022 | 70.80 Mn |
| Dec 31, 2021 | 22.80 Mn |
| Sep 30, 2021 | 21.10 Mn |
Gatx Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();