Gatx (GATX) Selling, General & Administrative (2009 - 2026)
Gatx (GATX) reported Selling, General & Administrative of $69.2 million for Q2 2026, up 18.9% from $58.2 million a year earlier but down 2.9% from the prior quarter.
Gatx (GATX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gatx's Selling, General & Administrative came in at $278.3 million, up 17.6% year-over-year; for FY2025, it came in at $252.6 million, up 6.9% from FY2024.
- Selling, General & Administrative has increased for three consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $236.3 million in FY2024 (+11.1%), $212.7 million in FY2023 (+9.1%), $195 million in FY2022 (-1.7%) and $198.3 million in FY2021 (+15.3%).
- Five-year quarterly Selling, General & Administrative spans a low of $45.9 million in Q3 2021 and a high of $71.6 million in Q4 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 11.6% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2026 (growth of 26.0%); the low point was Q4 2022 (a decline of 9.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $71.3 million (Q1 2026), $71.6 million (Q4 2025) and $66.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.25 Bn | 287.95 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 181.47 Bn | 176.05 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 172.60 Bn | 140.69 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 143.01 Bn | 140.20 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 111.22 Bn | 109.35 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 90.15 Bn | 71.59 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 89.90 Bn | 82.64 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 78.95 Bn | 75.51 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 74.37 Bn | 65.00 Bn | 1.23 Bn | 494.40 Mn |
| 10 | Gatx | 5.83 Bn | 2.91 Bn | - | 69.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.20 Mn |
| Mar 31, 2026 | 71.30 Mn |
| Dec 31, 2025 | 71.60 Mn |
| Sep 30, 2025 | 66.20 Mn |
| Jun 30, 2025 | 58.20 Mn |
| Mar 31, 2025 | 56.60 Mn |
| Dec 31, 2024 | 64.60 Mn |
| Sep 30, 2024 | 57.20 Mn |
| Jun 30, 2024 | 58.60 Mn |
| Mar 31, 2024 | 55.90 Mn |
| Dec 31, 2023 | 59.30 Mn |
| Sep 30, 2023 | 51.00 Mn |
| Jun 30, 2023 | 52.00 Mn |
| Mar 31, 2023 | 50.40 Mn |
| Dec 31, 2022 | 52.30 Mn |
| Sep 30, 2022 | 47.60 Mn |
| Jun 30, 2022 | 47.90 Mn |
| Mar 31, 2022 | 47.20 Mn |
| Dec 31, 2021 | 57.50 Mn |
| Sep 30, 2021 | 45.90 Mn |
Gatx Selling, General & Administrative 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=selling-general-and-administrative&ticker=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();